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Context Awareness i...
Context Awareness in Predictive Maintenance
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- Schmidt, Bernard, 1981- (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Produktion och Automatiseringsteknik, Production and Automation Engineering,University of Skövde
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- Galar, Diego (författare)
- Luleå tekniska universitet,Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningscentrum för Virtuella system,Luleå University of Technology, Luleå, Sweden,Produktion och Automatiseringsteknik, Production and Automation Engineering,Drift, underhåll och akustik
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- Wang, Lihui (författare)
- KTH,Högskolan i Skövde,Forskningscentrum för Virtuella system,Institutionen för ingenjörsvetenskap,KTH Royal Institute of Technology, Stockholm, Sweden,Produktion och Automatiseringsteknik, Production and Automation Engineering,Industriell produktion,University of Skövde
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(creator_code:org_t)
- 2015-12-15
- 2016
- Engelska.
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Ingår i: Current Trends in Reliability, Availability, Maintainability and Safety<em></em>. - Cham : Springer. - 9783319235974 - 9783319235967 ; , s. 197-211
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance approach utilizes the condition monitoring (CM) data to predict the future machine conditions and makes decisions upon this prediction. Recent development in CM leads to context aware approach where in parallel with CM measurements also data and information related to the context are gathered. Context could be operational condition, history of machine usage and performed maintenance actions. In general more obtained information gives better accuracy of prediction. It is important to track operational context in dynamically changing environment. Today in manufacturing we can observe shift from mass production to mass customisation. This leads to changes from long series of identical products to short series of different variants. Therefore implies changing operational conditions for manufacturing equipment. Moreover, where asset consist of multiple identical or similar equipment the context aware method can be used to combine in reliable way information. This should allow to increase accuracy of prediction for population as a whole as well as for each equipment instances. Same of those data have been already recorded and stored in industrial IT systems. However, it is distributed over different IT systems that are used by different functional units (e.g. maintenance department, production department, quality department, tooling department etc.). This paper is a conceptual paper based on initial research work and investigation in two manufacturing companies from automotive industry.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Tillförlitlighets- och kvalitetsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Reliability and Maintenance (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Other Civil Engineering (hsv//eng)
Nyckelord
- Context modeling
- Context awareness
- Condition monitoring
- Condition based maintenance
- Predictive maintenance
- Technology
- Teknik
- Production and Automation Engineering
- Produktion och automatiseringsteknik
- Drift och underhållsteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kap (ämneskategori)
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