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Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIM.2014.2351312
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dc.titlePDF and breakdown time prediction for unobservable wear using enhanced particle filters in precognitive maintenance
dc.contributor.authorPang, Chee Khiang
dc.contributor.authorZhou, J.-H.
dc.contributor.authorYan, H.-C.
dc.date.accessioned2016-09-09T00:50:30Z
dc.date.available2016-09-09T00:50:30Z
dc.date.issued2015
dc.identifier.citationPang, Chee Khiang, Zhou, J.-H., Yan, H.-C. (2015). PDF and breakdown time prediction for unobservable wear using enhanced particle filters in precognitive maintenance. IEEE Transactions on Instrumentation and Measurement 64 (3) : 649-659. ScholarBank@NUS Repository. https://doi.org/10.1109/TIM.2014.2351312
dc.identifier.issn189456
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/127366
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIM.2014.2351312
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIM.2014.2351312
dc.description.sourcetitleIEEE Transactions on Instrumentation and Measurement
dc.description.volume64
dc.description.issue3
dc.description.page649-659
dc.identifier.isiut000352281400007
dc.published.statePublished
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