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
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