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AuthorHemmati, Farzad
AuthorAlqaradawi, Mohammed
AuthorGadala, Mohamed S
Available date2021-07-05T11:03:43Z
Publication Date2016
Publication NameProceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
ResourceScopus
URIhttp://dx.doi.org/10.1177/1350650115619611
URIhttp://hdl.handle.net/10576/21192
AbstractAcoustic emission (AE) signal generated from artificial defects in rolling element bearings are investigated using experimental measurements in this paper. Rolling element bearings are crucial parts of many machines and there has been an increasing demand to find effective and reliable health monitoring technique and advanced signal processing to detect and diagnose the size and location of incipient defects. Condition monitoring of rolling element bearings, comprises four main stages which are, statistical analysis, faults diagnostics, defect size calculation, and prognostics. In this paper, the effect of defect size, operating speed, and loading conditions on statistical parameters of AE signals, using design of experiment method, have been investigated to select the most sensitive parameters for diagnosing incipient faults and defect growth on rolling element bearings. IMechE 2015.
Languageen
PublisherSAGE Publications Ltd
Subjectacoustic emission
bearing condition monitoring
Design of experiment
statistical analysis
TitleOptimized statistical parameters of acoustic emission signals for monitoring of rolling element bearings
TypeArticle
Pagination897-906
Issue Number8
Volume Number230
dc.accessType Abstract Only


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