Title :
Study on fault diagnosis of gear wearing based on non-stationary acoustic signal
Author :
Tian, Guang ; Shao, Xinjie ; Ma, Qiao ; Liu, Jinhua
Author_Institution :
Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Because of the restriction of self-propelled gun full-scale test, and because the traditional vibration test can´t be used for non-contact, non-disassembly and nondestructive test. A method that utilizes the non-stationary acoustic signal for gearbox fault diagnosis was introduced. In order to process the non-stationary signals such as speed up signals effectively, the order tracking technique were presented. Combined the cepstrum analysis to conquer the disadvantage of traditional FFT when processing non-stationary signal. Compared to the vibration signals, the gearbox gear wearing fault experiment and data analyzing showed its feasibility and superiority.
Keywords :
acoustic signal processing; cepstral analysis; fast Fourier transforms; fault diagnosis; gears; nondestructive testing; vibrations; wear; cepstrum analysis; data analysis; fault diagnosis; gear wearing; nonstationary acoustic signal; order tracking technique; self-propelled gun full-scale test; vibration signals; vibration test; Acoustic testing; Automatic testing; Cepstral analysis; Cepstrum; Data analysis; Fault diagnosis; Gears; Nondestructive testing; Signal analysis; Signal processing; Fault diagnosis; cepstrum; gear wearing; non-stationary acoustic signal; order tracking analysis;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274704