| 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.
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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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