DocumentCode :
507053
Title :
Instantaneous Energy Spectrum Based Gear Fault Detection and Diagnosis
Author :
Li, Hui ; Zheng, Haiqi ; Tang, Liwei
Author_Institution :
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
481
Lastpage :
485
Abstract :
A method for monitoring and diagnosis the gear fault according to instantaneous energy spectrum based on the newly developed empirical mode decomposition (EMD) scheme is presented. EMD can adaptively decompose the vibration signal into a series of zero mean oscillatory functions called intrinsic mode functions (IMFs). Hilbert transform can track the instantaneous amplitude and instantaneous frequency of the intrinsic mode functions at any instant. Then the instantaneous energy spectrum can be calculated based on the intrinsic mode functions. The instantaneous energy is thus associated with the deterioration in gear condition and can be utilized for gear damage detection. The experimental results show that instantaneous energy spectrum of the vibration signal is a sensitive indicator of the existence of damage in the gear transmission.
Keywords :
Hilbert transforms; condition monitoring; fault diagnosis; gears; vibrations; Hilbert transform; empirical mode decomposition; fault detection; fault diagnosis; gear damage detection; gear transmission; instantaneous energy spectrum; intrinsic mode functions; vibration signal; Cepstral analysis; Fault detection; Fault diagnosis; Fourier transforms; Frequency; Fuzzy systems; Gears; Signal analysis; Signal processing; Vibrations; Fault Detection; Instantaneous Energy Spectrum; gear; signal processing; vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.218
Filename :
5359220
Link To Document :
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