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A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring

The ideal end result of maintenance strategy is to increase profitability, improve product quality and ensure safety conditions. In condition-based maintenance (CBM), asset health is monitored regularly to maximize reliability and availability by determining necessary maintenance at the right time....

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Main Authors: Mohammadreza Tahan, B., Muhammad, M., Karim, Z.A.A.
Format: Conference or Workshop Item
Published: EDP Sciences 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905025212&doi=10.1051%2fmatecconf%2f20141305011&partnerID=40&md5=de5314410bf9e3326236d3d4342a7e93
http://eprints.utp.edu.my/32229/
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spelling my.utp.eprints.322292022-03-29T05:02:03Z A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring Mohammadreza Tahan, B. Muhammad, M. Karim, Z.A.A. The ideal end result of maintenance strategy is to increase profitability, improve product quality and ensure safety conditions. In condition-based maintenance (CBM), asset health is monitored regularly to maximize reliability and availability by determining necessary maintenance at the right time. Review of recent studies shows most of developed approaches propose a standalone system for each stage of maintenance system. In order to standardize a generic architecture for machinery CBM, this paper attempts to introduce an intelligent framework consisting of several functional modules, starting from data acquisition and ending to advisory generation, with the emphasis on approaches of condition monitoring and maintenance decision-making. © 2014 Owned by the authors, published by EDP Sciences. EDP Sciences 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905025212&doi=10.1051%2fmatecconf%2f20141305011&partnerID=40&md5=de5314410bf9e3326236d3d4342a7e93 Mohammadreza Tahan, B. and Muhammad, M. and Karim, Z.A.A. (2014) A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring. In: UNSPECIFIED. http://eprints.utp.edu.my/32229/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The ideal end result of maintenance strategy is to increase profitability, improve product quality and ensure safety conditions. In condition-based maintenance (CBM), asset health is monitored regularly to maximize reliability and availability by determining necessary maintenance at the right time. Review of recent studies shows most of developed approaches propose a standalone system for each stage of maintenance system. In order to standardize a generic architecture for machinery CBM, this paper attempts to introduce an intelligent framework consisting of several functional modules, starting from data acquisition and ending to advisory generation, with the emphasis on approaches of condition monitoring and maintenance decision-making. © 2014 Owned by the authors, published by EDP Sciences.
format Conference or Workshop Item
author Mohammadreza Tahan, B.
Muhammad, M.
Karim, Z.A.A.
spellingShingle Mohammadreza Tahan, B.
Muhammad, M.
Karim, Z.A.A.
A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
author_facet Mohammadreza Tahan, B.
Muhammad, M.
Karim, Z.A.A.
author_sort Mohammadreza Tahan, B.
title A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
title_short A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
title_full A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
title_fullStr A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
title_full_unstemmed A Framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
title_sort framework for intelligent condition-based maintenance of rotating equipment using mechanical condition monitoring
publisher EDP Sciences
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905025212&doi=10.1051%2fmatecconf%2f20141305011&partnerID=40&md5=de5314410bf9e3326236d3d4342a7e93
http://eprints.utp.edu.my/32229/
_version_ 1738657358184185856
score 13.211869

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