Title :
Fault diagnosis based on wavelet package for hydraulic pump
Author :
Hou, Wenkui ; Lu, Chuan ; Liu, Hongmei ; Lu, Chen
Author_Institution :
Dept. of Syst. Eng., Beihang Univ., Beijing, China
Abstract :
De-noising and extraction of the weak signature are crucial to fault diagnostics in which case features are often very weak and masked by noise. The wavelet transform has been widely used in signal de-noising due to its extraordinary time-frequency representation capability. In this paper, wavelet decomposition-based de-noising method is employed for fault feature extraction of hydraulic pump. The experiment result reveals that the wavelet decomposition de-noising method can achieve satisfactory results on weak signal detection of hydraulic pump.
Keywords :
failure analysis; fault diagnosis; feature extraction; hydraulic systems; noise pollution; pumps; signal denoising; signal detection; time-frequency analysis; wavelet transforms; fault diagnosis; fault feature extraction; hydraulic pump; noise elimination; signal de-noising; signal detection; time-frequency representation capability; wavelet decomposition-based de-noising method; wavelet package analysis; wavelet transforms; Continuous wavelet transforms; Discrete wavelet transforms; Fault diagnosis; Feature extraction; Packaging; Signal analysis; Signal processing; Wavelet analysis; Wavelet packets; Wavelet transforms; Wavelet analysis; fault diagnosis; hydraulic pump; port plate partial wear; slipper and sloping cam plate wear;
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
DOI :
10.1109/ICRMS.2009.5269950
