Title :
Bispectral analysis for diagnosis of gear pitting fault
Author :
Yibing, Liu ; Keguo, Yan ; Yanbing, Zhou ; Hong, Xu
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip., North China Electr. Power Univ., Beijing
Abstract :
A mechanical system shows always unstable, non-Gaussian and nonlinear characteristics to some extent, especially when the system suffer from defect, therefore it is difficult for conventional vibration analysis based on Fourier transform to find weak fault information. High-order spectral analysis (HOSA) provides a more effective tool. In this paper bispectrum and 1(12)-dimension spectrum were used to analyze vibration signals from gearbox with various pitting faults and to extract the fault feature by slice. Through comparison between normal and fault conditions it can be concluded that bispectral analysis has a stable performance and is very sensitive to faults.
Keywords :
Fourier transforms; fault diagnosis; gears; mechanical engineering computing; spectral analysis; vibrations; Fourier transform; bispectral analysis; gear pitting fault diagnosis; high-order spectral analysis; mechanical system; nonGaussian characteristics; nonlinear characteristics; unstable characteristics; vibration analysis; Data mining; Fault diagnosis; Feature extraction; Fourier transforms; Gears; Information analysis; Mechanical systems; Signal analysis; Spectral analysis; Vibrations; bispectrum; fault diagnosis; gear pitting; vibration;
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
DOI :
10.1109/WCICA.2008.4593973