| 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. |
- Albano, Michele, et al.
(författare)
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Quality of Service on the Arrowhead Framework
- 2017
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Ingår i: 2017 IEEE 13th International Workshop on Factory Communication Systems (WFCS). - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE). - 9781509057887
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Konferensbidrag (refereegranskat)abstract
- Quality of Service (QoS) is an important enabler for communication in industrial environments. The Arrowhead Framework was created to support local cloud functionalities for automation applications by means of a Service Oriented Architecture. To this aim, the framework offers a number of services that ease application development, among them the QoSSetup and the Monitor services, the first used to verify and configure QoS in the local cloud, and the second for online monitoring of QoS. This paper describes how the QoSSetup and Monitor services are provided in a Arrowhead-compliant System of Systems, detailing both the principles and algorithms employed, and how the services are implemented. Experimental results are provided, from a demonstrator built over a real-time Ethernet network.
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| 3. |
- Campos, Jaime, et al.
(författare)
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An Open Source Framework Approach to Support Condition Monitoring and Maintenance
- 2020
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Ingår i: Applied Sciences. - : MDPI. - 2076-3417. ; 10:18, s. 1-17
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Tidskriftsartikel (refereegranskat)abstract
- This paper discusses the integration of emergent ICTs, such as the Internet of Things (IoT), the Arrowhead Framework, and the best practices from the area of condition monitoring and maintenance. These technologies are applied, for instance, for roller element bearing fault diagnostics and analysis by simulating faults. The authors first undertook the leading industry standards for condition-based maintenance (CBM), i.e., open system architecture–condition-based maintenance (OSA–CBM) and Machinery Information Management Open System Alliance (MIMOSA), which has been working towards standardizing the integration and interchangeability between systems. In addition, this paper highlights the predictive health monitoring methods that are needed for an effective CBM approach. The monitoring of industrial machines is discussed as well as the necessary details are provided regarding a demonstrator built on a metal sheet bending machine of the Greenbender family. Lastly, the authors discuss the benefits of the integration of the developed prototypes into a service-oriented platform, namely the Arrowhead Framework, which can be instrumental for the remotization of maintenance activities, such as the analysis of various equipment that are geographically distributed, to push forward the grand vision of the servitization of predictive health monitoring methods for large-scale interoperability.
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| 4. |
- 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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| 5. |
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| 6. |
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| 7. |
- Delsing, Jerker, 1957-, et al.
(författare)
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The Arrowhead Framework architecture
- 2017
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Ingår i: IoT Automation. - Boca Raton, FL : CRC Press. - 9781498756754 - 9781498756761 ; , s. 43-88
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Bokkapitel (refereegranskat)
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| 8. |
- Ferreira, Luis Lino, et al.
(författare)
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QoS-as-a-Service in the local cloud
- 2016
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Ingår i: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA). - Piscataway, NJ : IEEE conference proceedings. - 9781509013142 - 9781509013135
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Konferensbidrag (refereegranskat)abstract
- This paper presents an architecture that supports Quality of Service (QoS) in an Arrowhead-compliant System of Systems (SoS). The Arrowhead Framework supports local cloud functionalities for automation applications, provided by means of a Service Oriented Architecture (SOA), by offering a number of services that ease application development. On such applications the QoS guarantees are required for service fruition, and are themselves requested as services from the framework. To fulfil this objective we start by describing the Arrowhead architecture and the components needed to dynamically in run-time negotiate a system configuration that guarantees the QoS requirements between application services
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| 9. |
- Garcia Represa, Jaime, 1994-
(författare)
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Workflows in Microservice Based System of Systems
- 2022
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Social welfare has grown along with the developments of innovative technologies to ease manual work and provide affordable goods for everyone. Advances in science require time to reach practical use. However, when their impact is such as to reshape society, their industrial adoption is accelerated and they become part of modern history. The greatest milestones in the manufacturing domain are represented by the industrial revolutions, which offered an answer to the manufacturing requirements of their time and pushed humankind forward. Currently, at the dawn of the third industrial revolution, society demands products with the same quality and variety as those formerly produced by craftsmen, but now with the price, manufacturing time, and quantity for mass production.As a response to the demand for the mass customization of products, the industry is leveraging the adoption of new technologies in order to upgrade its manufacturing processes. Although industrial production systems have been controlled through embed-ded systems for a long time, the key for disruptive changes came with the advent of digital communications, in what has been coined Internet of Things (IoT). The virtual management of devices has become more relevant, and added to the complexity of ma-chine’s behavior interdependence with the real physical process, it presents a new field of researched captured in the concept of Cyber-Physical System (CPS).The addition of myriad of new devices with the presented capabilities paves the way to a new industrial revolution, denoted Industry 4.0. However, it will be a futile effort as current engineers lack the ability to manage a vast number of complex devices, handle the quantity of data provided, or use the information in advantageous business decisions. Manufacturing systems in a factory are controlled according to an automation architec-ture. Unfortunately, the current ISA-95 standard model adopted by the industry does not cope with modern requirements and constrains the adoption of recent technologies.In this thesis, we explore solutions to the problem of management and integration of heterogeneous software systems, focused on production and grouped in dynamic System of Systems (SoS), framed in the context of Industry 4.0. This work presents an archi-tectural approach to distribute and automate the functionality concentrated in ISA-95 centralized systems into lines of autonomous production workstations on the shop floor. Our solution is based upon the workflow technology, which has been expanded to model and automate many business processes. Specifically, we target the use of manufacturing workflows implemented through microservices, to be provided by shop floor production equipment. As part of the solution, we have implemented two software systems to add support for workflows to a microservice architecture.
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