Performance assessment of a morphological index in fault prediction and trending of defective rolling element bearings

Patargias, TI; Yiakopoulos, CT; Antoniadis, IA

dc.contributor.author	Patargias, TI	en
dc.contributor.author	Yiakopoulos, CT	en
dc.contributor.author	Antoniadis, IA	en
dc.date.accessioned	2014-03-01T01:24:50Z
dc.date.available	2014-03-01T01:24:50Z
dc.date.issued	2006	en
dc.identifier.issn	1058-9759	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17460
dc.subject	defective bearings	en
dc.subject	morphological processing	en
dc.subject	fault trending	en
dc.subject	vibration analysis	en
dc.subject.classification	Materials Science, Characterization & Testing	en
dc.subject.other	VIBRATION SIGNALS	en
dc.title	Performance assessment of a morphological index in fault prediction and trending of defective rolling element bearings	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/10589750600673568	en
heal.identifier.secondary	http://dx.doi.org/10.1080/10589750600673568	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Frequency domain based signal processing methods have been shown to present a quite effective behaviour in the detection of defects, when applied to the analysis of vibration signals, resulting from rolling element bearings. However, these methods typically require some complex and sophisticated analysis, which renders their application cumbersome for applications requiring unskilled personnel or automated fault detection and trending. Parallel, a number of traditional methods exist, such as the root mean square (RMS), the crest factor (CF), the kurtosis (KU), the impulse factor (IF) and the shape factor (SF), requiring only direct processing in the time domain. Alternatively to these methods, a morphological index (MI) for processing vibration signals has been proposed, addressing the issues of how to quantify the shape and the size of the signals directly in the time domain. In this paper, based on a model for the dynamic behaviour of defective rolling bearings, the sensitivity of the MI is assessed, compared to the previous five traditional time domain indices, with respect to the effect of the added noise, the impulse repetition period, as well as the natural period and the damping ratio of the excited resonance, both in the case of an inner and an outer race defect. The results clearly indicate the superiority of the MI over all the other time domain indices compared. This fact is then further verified in three different cases from industrial installations, presenting fault trending analysis of bearings under various defects.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	NONDESTRUCTIVE TESTING AND EVALUATION	en
dc.identifier.doi	10.1080/10589750600673568	en
dc.identifier.isi	ISI:000240188100004	en
dc.identifier.volume	21	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	60	en