title: Real time automatic detection of bearing fault in induction machine using kurtogram analysis.
abstract: A proposed signal processing technique for incipient real time bearing fault detection based on kurtogram analysis is presented in this paper. The kurtogram is a fourth-order spectral analysis tool introduced for detecting and characterizing non-stationarities in a signal. This technique starts from investigating the resonance signatures over selected frequency bands to extract the representative features. The traditional spectral analysis is not appropriate for non-stationary vibration signal and for real time diagnosis. The performance of the proposed technique is examined by a series of experimental tests corresponding to different bearing conditions. Test results show that this signal processing technique is an effective bearing fault automatic detection method and gives a good basis for an integrated induction machine condition monitor.
authors.affiliation: Electrical Department, LTII Laboratory, University of Bejaia, Bejaia 06000, Algeria. f.tafinine@yahoo.fr
authors.forename: Farid
authors.initials: F
authors.lastname: Tafinine
authors.forename: Karim
authors.initials: K
authors.lastname: Mokrani
mesh_terms: D000162:Acoustics; D001331:Automation; D004867:Equipment Design; D004868:Equipment Failure; D007221:Industry / Q000295:instrumentation*; D008962:Models, Theoretical; D009038:Motion; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013018:Sound Spectrography; D013997:Time Factors; D014732:Vibration