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Lean instrumentatio...
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Aminu Sanda, MohammedLuleå tekniska universitet,Institutionen för ekonomi, teknik och samhälle
(author)
Lean instrumentation framework for sensor pruning and optimization in condition monitoring
- Article/chapterEnglish2011
Publisher, publication year, extent ...
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Longborough, Glos :Coxmoor Publishing Co.2011
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:ltu-37684
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https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-37684URI
Supplementary language notes
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Language:English
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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Godkänd; 2011; Bibliografisk uppgift: CD-ROM; 20110624 (mohami)
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This paper discusses a lean instrumentation framework for guiding the introduction of the lean concept in condition monitoring in order to enhance the organizational capability (i.e. human, technical and management trichotomy) and reduce the complexity in the maintenance management systems of industrial companies. Additionally, decision-making, based on severity diagnosis and prognosis in condition monitoring, is a complex maintenance function which is based on large data-set of sensors measurements. Yet, the entirety of such decision-making is not dependent on only the sensors measurements, but also on other important indices, such as the human factors, organizational aspects and knowledge management. This is because, the ability to identify significant features from large amount of measured data is a major challenge for automated defect diagnosis, a situation that necessitate the need to identify signal transformations and features in new domains. The need for the lean instrumentation framework is justified by the desire to have a modern condition monitoring system with the capability of pruning to the optimal level the number of sensors required for efficient and effective serviceability of the maintenance process. It is concluded that there are methodologies that can be developed to enable more efficient condition monitoring systems, with benefits for many processes along the value chain.
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Abrahamsson, LenaLuleå tekniska universitet,Arbetsvetenskap(Swepub:ltu)leab
(author)
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Galar, DiegoLuleå tekniska universitet,Drift, underhåll och akustik(Swepub:ltu)diegal
(author)
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Kumar, UdayLuleå tekniska universitet,Drift, underhåll och akustik(Swepub:ltu)uday
(author)
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Sandin, FredrikLuleå tekniska universitet,EISLAB(Swepub:ltu)fresan
(author)
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Delsing, JerkerLuleå tekniska universitet,EISLAB(Swepub:ltu)jerker
(author)
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Luleå tekniska universitetInstitutionen för ekonomi, teknik och samhälle
(creator_code:org_t)
Related titles
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In:The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention TechnologiesLongborough, Glos : Coxmoor Publishing Co., s. 202-2159781618390141
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