Title :
Research on wavelet analysis in fault signal processing
Author :
Yali, Zhang ; Lee, Shah-Rong ; Haiwen, Zhao ; Wang Baoguang ; Bingqing, Liu
Author_Institution :
Nat. Key Lab. of Precision Measuring Technol. & Instruments, Tianjin Univ., China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
Fault are always detected and diagnosed by analysing signals with fault features. This paper tries to introduce the wavelet analysis into the fault detection of the control system by analysing the fault signal, and provides an effective approach to detect faults in electro-hydraulic servo (EHS) system. A wavelet model based approach (WMBA) has been developed. This model is used to generate residual signal by comparing the healthy signal with the signal in the running system. By processing the residual signal, faults from incipient fault to serious fault can be detected effectively.
Keywords :
control system analysis; electrohydraulic control equipment; fault diagnosis; servomechanisms; signal processing; wavelet transforms; electrohydraulic servo system; fault detection; fault diagnosis; fault signal processing; wavelet analysis; wavelet model based approach; Analytical models; Continuous wavelet transforms; Control system synthesis; Differential equations; Discrete wavelet transforms; Fault detection; Fault diagnosis; Signal analysis; Signal processing; Wavelet analysis;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1452574
