Envelope Ensemble Average of Largest Amplitude Impact Transients for Diagnosing Rolling Element Defects in Bearings

Lei Hu, Fengshou Gu, Jing He, Niaoqing Hu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Rolling elements of bearings spin and revolve simultaneously during operation. For each revolution period, there is a spin period during which a defected rolling element passes through the load zone center and causes two largest amplitude impact transients (LAIT). LAIT segments of each rolling element are separated according to the bearing kinematics. The transient waveform in the LAIT segments is enhanced with band-pass filtering, demodulation and low-pass filtering. An enhanced signature named envelope ensemble average (EEA) is obtained by ensemble averaging of the enhanced LAIT segments for each rolling element. Validation results of the EEA signatures with simulation signals and experimental signals show that EEA signatures are very sensitive to element defects and robust to rotational speed fluctuation and rolling element slippage. Besides, the method does not need a tachometer and the computational cost is low.

Original languageEnglish
Title of host publicationAdvances in Asset Management and Condition Monitoring, COMADEM 2019
EditorsAndrew Ball, Len Gelman, B.K.N. Rao
PublisherSpringer, Cham
Pages1151-1162
Number of pages12
Volume166
ISBN (Electronic)9783030577452
ISBN (Print)9783030577445
DOIs
Publication statusPublished - 28 Aug 2020
Event32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 3 Sep 20195 Sep 2019
Conference number: 32
http://www.comadem2019.com/ (Link to Conference Website)

Publication series

NameSmart Innovation, Systems and Technologies
PublisherSpringer
Volume166
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Abbreviated titleCOMADEM 2019
CountryUnited Kingdom
CityHuddersfield
Period3/09/195/09/19
Internet address

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