Fault diagnosis technology based on wavelet analysis and resonance demodulation
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress（2004）
摘要
The impulse signal is contained in the fault signals of some pivotal components such as gears and axletrees. Extracting weensy impact information is an important method to diagnose equipment. A mathematical model on the technology of resonant demodulation is put forward in this paper. The model provides the theoretical basis on how to use the technology to extract the weensy impulse signal from the normal low-frequency vibrating signal, at the same time, another method that wavelet analysis is used to extract the weensy impulse information is introduced too. Simulation and practical application manifest that both wavelet analysis and demodulation have good effect on extracting the weensy impulse from the mechanical fault caused by gear and axletree.
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关键词
demodulation,gears,wavelet analysis,signal processing,wavelet transforms,fault diagnosis technology,mechanical fault,mathematical model,mathematical analysis,pivotal component,spectral analysis,impulse signal,normal low-frequency vibrating signal,resonance demodulation,weensy impact information extraction,fault diagnosis,axletrees,ball bearings,data mining,information analysis,low frequency,signal analysis,resonance
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