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Abstract:
The
time-frequency localization features of the wavelet transform and the
signal wavelet decomposition-reconstruction algorithm based on the
multi-resolution analysis are analyzed. The signal local singularities
under the wavelet transform are studied. According to the propagation
features of modulus maximums of the fault signal and the noise under the
wavelet transform different on the scales, and by use of the signal
wavelet decomposition-reconstruction algorithm, the pump shell vibration
acceleration signal is decomposed, denoised, and reconstructed. The
signal-to-noise of the monitored signal improved greatly. The fault
characteristic signal on time domain is positioned. The fault
characteristic frequency is picked up.
Key words:
Hydraulic
pump Fault diagnosis Wavelet transform
CLC No: TH137
选自2000年第一届国际机械工程学术会议，, received in revised form 20010316
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