DocumentCode :
2488537
Title :
EMD based envelope analysis for bearing faults detection
Author :
Zhang, Yuping ; Ai, Shufeng
Author_Institution :
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
4257
Lastpage :
4260
Abstract :
The envelope analysis technique, used for many years in faults detection of bearing by vibration analysis, is combined with the technique of empirical mode decomposition (EMD), which has been applied to non-stationary and non-linear signal analysis. The method to fault diagnosis of bearing based on EMD and envelope spectrum is presented. The methodology developed in this paper decomposes the original times series data in intrinsic oscillation modes, using the empirical mode decomposition. Then the envelope spectrum is applied to the selected intrinsic mode function (IMF) which stands for the bearing faults. The techniques are demonstrated by the experiments on a machine tool with a ball bearing under simulated crack on the inner race or outer race. The experimental results show that this method based on EMD and envelope spectrum can effectively diagnosis the faults of bearing.
Keywords :
fault diagnosis; rolling bearings; signal processing; vibrations; bearing faults detection; empirical mode decomposition; envelope analysis; envelope spectrum; fault diagnosis; intrinsic mode function; rolling element bearings; signal analysis; vibration analysis; Ball bearings; Band pass filters; Biomedical signal processing; Envelope detectors; Fault detection; Fault diagnosis; Frequency; Machine tools; Resonance; Signal analysis; Bearing; Empirical mode decomposition; Faults diagnosis; Power spectrum; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593606
Filename :
4593606
Link To Document :
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