| 1. |
- Albano, Michele, et al.
(författare)
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Energy Saving by Blockchaining Maintenance.
- 2018
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Ingår i: Journal of Industrial Engineering and Management Science. - : River Publishers. - 2446-1822. ; 2018:1, s. 63-88
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Tidskriftsartikel (refereegranskat)abstract
- The development and interest in Industry 4.0 together with rapid development of Cyber Physical Systems has created magnificent opportunities to develop maintenance to a totally new level. The Maintenance 4.0 vision considers massive exploitation of information regarding factories and machines to improve maintenance efficiency and efficacy, for example by facilitating logistics of spare parts, but on the other hand this creates other logistics issues on the data itself, which only exacerbate data management issues that emerge when distributed maintenance platforms scale up. In fact, factories can be delocalized with respect to the data centers, where data has to be transferred to be processed. Moreover, any transaction needs communication, be it related to purchase of spare parts, sales contract, and decisions making in general, and it has to be verified by remote parties. Keeping in mind the current average level of Overall Equipment Efficiency (50%) i.e. there is a hidden factory behind every factory, the potential is huge. It is expected that most of this potential can be realised based on the use of the above named technologies, and relying on a new approach called blockchain technology, the latter aimed at facilitating data and transactions management. Blockchain supports logistics by a distributed ledger to record transactions in a verifiable and permanent way, thus removing the need for multiple remote parties to verify and store every transaction made, in agreement with the first “r” of maintenance (reduce, repair, reuse, recycle). Keeping in mind the total industrial influence on the consumption of natural resources, such as energy, the new technology advancements can allow for dramatic savings, and can deliver important contributions to the green economy that Europe aims for. The paper introduces the novel technologies that can support sustainability of manufacturing and industry at large, and proposes an architecture to bind together said technologies to realise the vision of Maintenance 4.0.
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| 2. |
- Arnaiz, Aitor, et al.
(författare)
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A New Integrated E-maintenance Concept
- 2010. - 1
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Ingår i: E-maintenance. - London : Springer. - 9781849962049 - 9781849962056 ; , s. 61-82
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Bokkapitel (refereegranskat)abstract
- This chapter outlines the work done in Dynamite project (http://DYNAMITE.vtt.fi), as well as the resulting concept nicknamed as DynaWeb. DynaWeb represents the link between Dynamite and the e-maintenance technologies described in previous chapters and results in a global framework where all technologies can participate within an advanced maintenance solution.This chapter serves as an introduction to the rest of the chapters dealing with specific technologies that have been converted into ‘capabilities’, such as intelligent sensors, wireless communications, intelligent web services or smart PDAs, as well as to the final demonstrations
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| 3. |
- Baglee, David, et al.
(författare)
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How can SMEs adopt a new method to advanced maintenance strategies : A Case study approach
- 2018
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Ingår i: Conference Proceedings: 30th International Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2017). - : University of Central Lancashire. - 9781909755154 ; , s. 155-162
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Konferensbidrag (refereegranskat)abstract
- Maintenance is crucial to manufacturing operations. In many organisations, the production equipmentrepresents the majority of invested capital, and deterioration of these facilities and equipment increasesproduction costs, reduces product quality. Over recent years the importance of maintenance, and thereforemaintenance management, within manufacturing organisations has grown. The maintenance function hasbecome an increasingly important and complex activity, particularly as automation increases. Theopportunity exists for many organisations to benefit substantially through improvements to theircompetitiveness and profitability by adopting a new approach to maintenance management. Several toolsand technologies including Condition Based Maintenance (CBM), Reliability Centred Maintenance (RCM)and more recently e-maintenance have developed under the heading of Advanced Maintenance Strategies.However, the adoption of advanced maintenance strategies and their potential benefits are usuallydemonstrated in large organisations. Unfortunately, the majority of organisations are constrained by thelack of knowledge and understanding on the requirements, which need to be in place before adopting anadvanced maintenance strategy. These are usually classified as Small and Medium Sized Enterprises(SMEs).The research strategy is based on ‘empirical iterations’ using survey secondary data, experts’ interviewsinformation and multiple case studies. The results show that there is a set of recommendations, whichstrongly influence the implementation of an Advanced Maintenance Strategy (AMS) with a Small toMedium Enterprise (SME). Organisations require a structured and integrative approach in order to takeadvantage of a new approach to maintenance management. This paper will propose recommendations forintegrating an AMS into the organisation and provide evidence of a successful implementation.
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| 4. |
- Baglee, David, et al.
(författare)
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How Does CBM Function in the Real World?
- 2016
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Ingår i: MFPT 2015 and ISA’s 61st International Instrumentation Symposium, At Dayton. Ohio.
-
Konferensbidrag (refereegranskat)abstract
- Manufacturing organizations are under increasing pressure to meet customer and corporate demands by implementing improved maintenance initiatives to reduce costs, improve equipment availability, and protect against failure of critical equipment. Condition Based Maintenance (CBM) is widely accepted and used as a financially effective maintenance strategy which is used to anticipate equipment or component failure. Recent technological advances in component sensitivities, size reductions, and most importantly, cost has opened up an entirely new area of diagnostics. The economic benefit of CBM is achieved if the approach to maintenance is applied to the right equipment and through appropriate tools. In particular the degradation behavior of the equipment needs to be understood to correctly deploy a CBM approach and specific actions to specific equipment or components. Failure modes can be applied to support and optimise the decision making process. Using failure modes can be an efficient low-risk tool process for the prevention of problems, and is referred to as a deductive technique that consists of failure identification in each component. However, the literature is limited regarding the importance and the role of various failure models in different industrial sectors. Thus, if failure models are not known, understood and utilised correctly the use of CBM will not lead to financial benefits. The paper examines the relationship between the failure patterns observed in industrial maintenance practice and the corresponding impact on adoption and potential benefits of Condition-Based Maintenance (CBM). The paper will explain the need for accurate and up to date equipment information to support the correct maintenance approach. The paper suggests the importance of further supporting such investments by appropriately addressing the need to collect relevant data as a basis upon which to make the right decisions.
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| 5. |
- Baglee, David, et al.
(författare)
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Optimizing Condition Monitoring of Big Data Systems
- 2017
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Ingår i: Proceedings of the 2017 International Conference on Data Mining. - : CSREA Press. - 1601324537 ; , s. 127-131
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Konferensbidrag (refereegranskat)abstract
- Industrial communication networks are common in a number of manufacturing organisations. The high availability of these networks is crucial for smooth plant operations. Therefore local and remote diagnostics of these networks is of primary importance in determining issues relating to plant reliability and availability. Condition Monitoring (CM) techniques when connected to a network provide a diagnostic system for remote monitoring of manufacturing equipment. The system monitors the health of the network and the equipment and is therefore able to predict performance. However, this leads to the collection, storage and analyses of large amounts of data, which must provide value. These large data sets are commonly referred to as Big Data. This paper presents a general concept of the use of condition monitoring and big data systems to show how they complement each other to provide valuable data to enhance manufacturing competiveness.
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| 6. |
- Campos, Jaime, et al.
(författare)
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A big data analytical architecture for the Asset Management
- 2017
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Ingår i: Industrial Product/Service-Systems (IPSS) Conference. - : Elsevier. ; , s. 369-374
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Konferensbidrag (refereegranskat)abstract
- The paper highlights the characteristics of data and big data analytics in manufacturing, more specifically for the industrial asset management. The authors highlight important aspects of the analytical system architecture for purposes of asset management. The authors cover the data and big data technology aspects of the domain of interest. This is followed by application of the big data analytics and technologies, such as machine learning and data mining for asset management. The paper also presents the aspects of visualisation of the results of data analytics. In conclusion, the architecture provides a holistic view of the aspects and requirements of a big data technology application system for purposes of asset management. The issues addressed in the paper, namely equipment health, reliability, effects of unplanned breakdown, etc., are extremely important for today's manufacturing companies. Moreover, the customer's opinion and preferences of the product/services are crucial as it gives an insight into the ways to improve in order to stay competitive in the market. Finally, a successful asset management function plays an important role in the manufacturing industry, which is dependent on the support of proper ICTs for its further success. (C) 2017 The Authors Published by Elsevier B.V.
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| 7. |
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| 8. |
- Campos, Jaime, et al.
(författare)
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A conceptual database model for mobile e-maintenance
- 2014
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Ingår i: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications. - Luleå : Luleå tekniska universitet. - 9789174399721 - 9789174399738 ; , s. 111-118
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Konferensbidrag (refereegranskat)abstract
- A conceptual database model is the primary requirement for aphysical database design. The paper discusses a conceptual databasemodel, suitable for a manufacturing or process plant when amobile device is utilised. A knowledge sharing and an e-learningmodule are suggested to be used together with the e-maintenanceapplications because of the benefits they can provide for themaintenance engineers when performing their different workstasks. Firstly, the authors briefly review the state of the art in thearea. Then the e-maintenance approach and the information needsof the maintenance engineer are discussed as well as organisationallearning and knowledge sharing are taken into account. Further,when the mobile database model is developed, it is recommendedto apply the database standards of the MIMOSA (Machinery InformationManagement Open Systems Alliance) which is worthwhileconsidering for purposes of work order and measurementevent. To conclude, there is a static view of a conceptual modelillustrated, which highlights the entities and relationship for thesurveillance of the machines as well as the most important elearningparts, for this purpose, the web mobile technology issuggested for making use of geographically distributed databasesthrough the Internet. These tools facilitate mobile e-monitoringand maintenance.
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| 9. |
- Campos, Jaime, et al.
(författare)
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A Mobile Maintenance Decision Support System
- 2008
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Ingår i: Maintenance and Asset Management Journal. - 1748-5290. ; 23:2, s. 42-48
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Tidskriftsartikel (refereegranskat)abstract
- The development is reported of an e-maintenance system, ie a mobile maintenance decision supportsystem based on web and mobile technologies. The problem of the lack of experts to troubleshoot a fault ina machine is a long-standing one. It has led to the application of artificial intelligence and, later, distributedartificial intelligence for machine condition monitoring and diagnosis. Recently, web technology, alongwith wireless communication, is emerging as a potential tool in maintenance, facilitating acquisition ofthe desired information by the relevant personnel at any time, wherever they may be. It has been foundthat with the emergence of the new Information and Communications Technology (ICT) new conceptshave started to appear, such as e-manufacturing, e-business and e-maintenance. The paper begins byshowing the Web and Mobile architecture and then the ICT tools that are used for communication amongthe different layers of the system and the client machines. This is followed by a demonstration of the useof the system with a faulty bearing simulated signal. In addition, it is explained that a CMMS, ie a mobilework management system, has been tested, with successful results. Finally, it is shown how a mobileemulator was used to perfect the system for different requirements and how this was then tested on apersonal digital assistant (PDA).
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| 10. |
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| 11. |
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| 12. |
- Campos, Jaime, et al.
(författare)
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Arrowhead Framework services for condition monitoring and maintenance based on the open source approach
- 2019
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Ingår i: 6th International Conference on Control Decision Information Technologies (CoDIT 2019). - : IEEE. - 9781728105215 - 9781728105208 - 9781728105222 ; , s. 697-702
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Konferensbidrag (refereegranskat)abstract
- The emergence of new Information and Communication Technologies, such as the Internet of Things and big data and data analytics provides opportunities as well as challenges for the domain of interest, and this paper discusses their importance in condition monitoring and maintenance. In addition, the Open system architecture for condition-based maintenance (OSA-CBM), and the Predictive Health Monitoring methods are gone through. Thereafter, the paper uses bearing fault data from a simulation model with the aim to produce vibration signals where different parameters of the model can be controlled. In connection to the former mentioned a prototype was developed and tested for purposes of simulated rolling element bearing fault systems signals with appropriate fault diagnostic and analytics. The prototype was developed taking into consideration recommended standards (e.g., the OSA-CBM). In addition, the authors discuss the possibilities to incorporate the developed prototype into the Arrowhead framework, which would bring possibilities to: analyze various equipment geographically dispersed, especially in this case its rolling element bearing; support servitization of Predictive Health Monitoring methods and large-scale interoperability; and, to facilitate the appearance of novel actors in the area and thus competition.
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| 13. |
- Campos, Jaime, et al.
(författare)
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Business Performance Measurements in Asset Management with the Support of Big Data Technologies
- 2017
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Ingår i: Management Systems in Production Engineering. - : De Gruyter Open. - 2299-0461 .- 2450-5781. ; 25:3, s. 143-149
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Tidskriftsartikel (refereegranskat)abstract
- The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.
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| 14. |
- Campos, Jaime, et al.
(författare)
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Business performance measurements in asset management with the support of big data technologies
- 2016
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Ingår i: Proceedings of MPMM 2016. - : Luleå tekniska universitet. - 9789175838410 ; , s. 89-95
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Konferensbidrag (refereegranskat)abstract
- The paper reviews the performancemeasurement in the domain of interest. Important data in assetmanagement are further, discussed. The importance and thecharacteristics of today’s ICTs capabilities are also mentionedin the paper. The role of new concepts such as big data anddata mining analytical technologies in managing theperformance measurements in asset management are discussedin detail. The authors consequently suggest the use of themodified Balanced Scorecard methodology highlighting bothquantitative and qualitative aspects, which is crucial foroptimal use of the big data approach and technologies.
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| 15. |
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| 16. |
- Campos, Jaime
(författare)
-
ICT tools for e-maintenance
- 2008
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Information and Communication Technologies (ICT) have made an impact on various parts of a company. The need of many companies of integrating the wealth of information and processes for profitable business has been highlighted since the middle of the 1980s. Further, the commercialization of the Internet began during the middle of the 1990s. The combinations of these developments and the positive impact of ICTs on maintenance and thereby on productivity have been, lately, realized by academia and industry alike, and a new concept, e-maintenance, has been coined.The main problem of the present work was "How ICT can be used for integrating various data and information to provide better decision support and improve productivity". The main problem addressed was divided into three sub research questions. (1) Which approach should be considered to develop e-maintenance systems? (2) How can web and agent technologies be used in e-maintenance? (3) Which ICT architecture and ICT tools should be used to enhance productivity in the organization/maintenance department and the decision-making process? The research process in this study was based on design science, .i.e. constructive research approach. However, during the first phases of the study has empirical studies been conducted to get an overall understanding of the domain of study.The present study first presents the state of the art. It was found that in many research projects the application of ICTs to condition-based maintenance (CBM) has been part of the whole work. Since CBM is the most desirable maintenance strategy it needs more focused attention. However,it was found that limited consistent and systematic efforts have been made, in an isolated manner,in industry and academia. A few researchers are using mobile devices, especially personal digital assistants (PDA) with embedded technology and even fewer with web technology.The study continues by presenting e-maintenance solutions. It goes through the modelling phase in the development of a system and suggests an ontology approach. Further, the use of web and agent technologies on a conceptual level was studied and an architecture was proposed for the same purpose, i.e. e-maintenance. Finally, a prototype was developed with the use of the ICTs tools and an architecture was proposed, Web and mobile architecture. It is an n-tier architecture, where the main client was a mobile device, i.e. PDA. The developed system with the use of various ICTs, viz. web technology, mobile device and wireless communication is believed to make maintenance personnel more productive and help to achieve better decisions.
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| 17. |
- Campos, Jaime, et al.
(författare)
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Industrial open source solutions for product life cycle management
- 2014
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Ingår i: Cogent Engineering. - : Taylor & Francis. - 2331-1916. ; 1:1
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Tidskriftsartikel (refereegranskat)abstract
- The authors go through the open source for product life cycle management (PLM) and the efforts done from communities such as the open source initiative. The characteristics of the open source solutions are highlighted as well. Next, the authors go through the requirements for PLM. This is an area where more attention has been given as the manufacturers are competing with the quality and life cycle costs of their products. Especially, the need of companies to try to get a strong position in providing services for their products and thus to make themselves less vulnerable to changes in the market has led to high interest in product life cycle simulation. The potential of applying semantic data management to solve these problems discussed in the light of recent developments. In addition, a basic roadmap is presented as to how the above-described problems could be tackled with open software solutions.
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| 18. |
- Campos, Jaime, et al.
(författare)
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Mobile Information Systems in Maintenance Engineering and Asset Management
- 2016
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Ingår i: Journal of Societal Studies. - 2029-2236 .- 2029-2244. ; 8:2, s. 180-197
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Tidskriftsartikel (refereegranskat)abstract
- The objective of this paper is to provide a profound insight into important characteristics with regard to the integration of mobile technology into the area of industrial maintenance. The aspects highlighted in the paper uncover, for instance, acceptance models and best practices, as well as the financial impact of mobile technologies in the domain of interest. Moreover, the paper pinpoints some important characteristics that impede full integration of these technologies into this area. In addition, the economic benefits and the current situation with regard to mobile integration are highlighted. In addition, relevant literature and theories are analysed and discussed. Furthermore, the industrial integration of mobile technologies is outlined. The results indicate that there is a tendency to place an emphasis on the technical aspects of mobile devices rather than on understanding the organisational context, which affects the integration of mobile technologies into this domain.The work provides a thorough understanding of best practices and aspects to consider for the successful integration of mobile technologies in this area. This is because the use of mobile devices enables maintenance staff to gain access to information and services pertaining to the task in hand in real time, as long as some form of network access is provided. Users of these devices thus become mobile actors who dynamically interact with the physical environment in the workplace and support information systems, leading to a faster response to events and improved organizational performance.
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| 19. |
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| 20. |
- Campos, Jaime, et al.
(författare)
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Product Lifecycle Simulation Applying Semantic Data Management
- 2011
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Ingår i: Product Lifecycle Management. - 978 90 79182 26 8 - 978 90 79182 27 5 ; , s. 455-464
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Konferensbidrag (refereegranskat)abstract
- Product lifecycle simulation (PLCS) has been given ever moreattention as the manufacturers are competing with the quality and lifecyclecosts of their products. Especially, the need of companies to try to get a strongposition in providing services for their products and thus to make themselvesless vulnerable to changes in the market has led to high interest in PLCS. Ashort summary of current status of PLCS is presented especially related to thepoor integration of data in product lifecycle management systems and in PLCS.The potential of applying semantic data management to solve these problems isthoroughly discussed in the light of recent development. A basic roadmap howthe above-described problems could be tackled with open software solutions ispresented. Finally, this paper reviews the emergent Web technologies such asthe Semantic Web framework and the Web services.
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| 21. |
- Campos, Jaime, et al.
(författare)
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The challenges of cybersecurity frameworks to protect data required for the development of advanced maintenance
- 2016
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Ingår i: Product-Service Systems Across Life Cycle. - : Elsevier. ; , s. 222-227
-
Konferensbidrag (refereegranskat)abstract
- The main objective of the paper is to highlight the important aspects of the data management in condition monitoring and maintenance, especially when the emergent technologies, such as the cloud computing and big data, are to be considered in the maintenance department. In addition, one of the main data management elements highlighted in the current work are the cybersecurity issues which might be one of the biggest obstacles hindering the development of cloud based big data for condition-based maintenance (CBM) purposes. Further, the benefits and current risks of storing a company's data in the cloud are highlighted. The authors discuss as well different data needs in various processes in the area of asset management. In addition, the challenges and issues to be addressed for the optimal use of the company data at the cloud together with the big data approach are addressed. This is seen as an important part in an effort to achieve sustainable information and communication technologies for the industry.
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| 22. |
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| 23. |
- Campos, Jaime, et al.
(författare)
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The Use of Mobile Technologies and Their Economic Benefits in Maintenance
- 2016
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Ingår i: Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). - Cham : Springer. - 9783319270647 - 9783319270647 ; , s. 113-119
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Konferensbidrag (refereegranskat)abstract
- The use of mobile devices enables maintenance staff to gain access to information and services relevant to the task in hand in near real time and wherever some form of network access is provided. Essentially, mobile device users become mobile actors who dynamically interact with the physical environment, i.e. workplace, and supporting information systems, leading to faster response to events and an increased performance. This paper provides insight into the acceptance prospects and best practices of the mobile technologies in the area of maintenance. Furthermore, the potential financial impact is discussed as a key driver for the adoption of mobile technologies in the maintenance practice.
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| 24. |
- Campos, Jaime, et al.
(författare)
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The Use of Relational and NoSQL Databases in Industrial Asset Management
- 2020
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Ingår i: Engineering Assets and Public Infrastructures in the Age of Digitalization. - Cham : Springer. - 9783030480219 - 9783030480202 ; , s. 302-308
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Bokkapitel (refereegranskat)abstract
- The advancements concerning the development of ICT systemsincluding Internet of Things (IoT), big data, cloud computing and NoSQLdatabases provide new opportunities and challenges for industrial asset management.The use of NoSQL databases has emerged due to the limitations of therelational databases, in particular, the inability to scale-up horizontally and tomanage the data that is constantly generated by industry. The current workhighlights the key aspects of both relational and NoSQL databases. The paperprovides a review of the database technologies mentioned above. In this context,in order to demonstrate the effectiveness and adequacy of NoSQL databases, areal industrial case study is presented. The authors also discuss the differentdatabase technologies and their suitability in the domain of interest.
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| 25. |
- Jantunen, Erkki, et al.
(författare)
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Application system design - Maintenance
- 2017
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Ingår i: IoT Automation. - Boca Raton, FL : CRC Press. - 9781498756754 - 9781498756761 ; , s. 248-280
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Bokkapitel (refereegranskat)abstract
- In this section the use and role of the Arrowhead Framework in large multifunctional industrial automation environments is discussed. The basic scenario is related to enabling industrial IoT and connectivity of devices in a process industry setting. The basic motivation for the Arrowhead Framework - to facilitate the interoperability of IoT devices - is discussed in the light of practical pilot examples. The pilots are from the mining industry focusing on various examples related to maintenance. These examples were chosen due to the frequent wear in mining production equipment and the difficulties associated with traditional condition monitoring for production equipment scattered over long distances. Consequently, the new IoT solutions for gathering and analysing data in the mining industry have high potential for lowering maintenance costs and increasing the availability of production equipment.
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| 26. |
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| 27. |
- Jantunen, Erkki, et al.
(författare)
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Digitalisation of Maintenance
- 2017
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Ingår i: 2nd International Conference on System Reliability and Safety, ICSRS 2017, 20 - 22 December 2017, Milan, Italy. - : IEEE. - 9781538633229 ; , s. 343-347
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Konferensbidrag (refereegranskat)abstract
- The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.
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| 28. |
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| 29. |
- Jantunen, Erkki, et al.
(författare)
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Remote maintenance support with the aid of cyber-physical systems and cloud technology
- 2018
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Ingår i: Proceedings of the Institution of mechanical engineers. Part I, journal of systems and control engineering. - : Sage Publications. - 0959-6518 .- 2041-3041. ; 232:6, s. 784-794
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Tidskriftsartikel (refereegranskat)abstract
- This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.
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| 30. |
- Mejia Niño, Carolina, et al.
(författare)
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An iterative process to extract value from maintenance projects
- 2018
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Ingår i: Proceedings of the 3rd International Conference on Maintenance Engineering IncoME-III 2018. - : University of Coimbra. - 9789898200174 ; , s. 319-335
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Konferensbidrag (refereegranskat)abstract
- Research and development projects are producing novel maintenance strategies and techniques. Anyway, it is not straightforward to transfer results from the lab to the real world, and thus many projects, both internal to a company and in cooperation between the members of a consortium, speculate how to perform this feat, called “exploitation” in the context of European projects. This paper discusses the necessity of novel techniques in modern maintenance, and then introduces a novel approach to the problem of transferring innovation from the lab to the market. The novel approach spawns from the “spiral software development” process and proceeds as a set of iterations that bring together different stakeholders to increase the number of products, techniques and results in general that can survive the end of a research and development project. The approach was applied to a large European project, which is described as use case, and the paper reports on the encouraging results that were attained.
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| 31. |
- Sharma, Pankaj, et al.
(författare)
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Big data collection and analysis for manufacturing organisations
- 2017
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Ingår i: Big Data and Information Analytics. - : American Institute of Mathematical Sciences. - 2380-6966 .- 2380-6974. ; 2:2, s. 127-139
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Tidskriftsartikel (refereegranskat)abstract
- Data mining applications are becoming increasingly important for the wide range of manufacturing and maintenance processes. During daily operations, large amounts of data are generated. This large volume and variety of data, arriving at a greater velocity has its own advantages and disadvantages. On the negative side, the abundance of data often impedes the ability to extract useful knowledge. In addition, the large amounts of data stored in often unconnected databases make it impractical to manually analyse for valuable decision-making information. However, an advent of new generation big data analytical tools has started to provide large scale benefits for the organizations. The paper examines the possible data inputs from machines, people and organizations that can be analysed for maintenance. Further, the role of big data within maintenance is explained and how, if not managed correctly, big data can create problems rather than provide solutions. The paper highlights the need to have advanced mining techniques to enable conversion of data into information in an acceptable time frame and to have modern analytical tools to extract value from the big datasets.
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| 32. |
- Starr, Andrew, et al.
(författare)
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Maintenance Today and Future Trends
- 2010. - 1
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Ingår i: E-maintenance. - London : Springer. - 9781849962049 - 9781849962056 ; , s. 5-37
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Bokkapitel (refereegranskat)abstract
- This chapter describes the state of the art in maintenance and its future trends. The key areas that have influenced maintenance in the last 40 years are management of people and assets, and technological capability. These areas are important because they aim to take the best advantage of expensive resources, whether that advantage be profit, or to provide the best possible service with limited resources. The chapter first sets out the current range of maintenance in industrial practice. It is recognised that many businesses do not undertake the full extent of the work reported here, but it is our purpose to survey the state of the art. The chapter then continues to survey the influences of nascent technologies and ideas, before making some predictions about the future. Indeed, some of the most advanced condition-based maintenance effectively aims to predict the future. However, here we do not offer a crystal ball calibrated to international standards; we will constrain ourselves to an informed, independent opinion.
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