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FAULT DIAGNOSIS METHOD EMPLOYING ENHANCED MODULATION SIGNAL BISPECTRUM ANALYSIS FOR ROLLING BEARING
FAULT DIAGNOSIS METHOD EMPLOYING ENHANCED MODULATION SIGNAL BISPECTRUM ANALYSIS FOR ROLLING BEARING
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机译：滚动轴承采用增强型调制信号双谱分析的故障诊断方法
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摘要
A fault diagnosis method employing enhanced modulation signal bispectrum analysis for a rolling bearing, proposed to address the drawback of modulation signal bispectrum analysis in which Gaussian noise can be suppressed in theory, but the analysis cannot address non-Gaussian noise. The method specifically comprises: measuring a vibration signal of a rolling bearing under test by means of a vibration sensor; performing noise reduction processing on the obtained vibration signal according to an AR model, and obtaining a reduced-noise vibration signal; and performing MSB separation on the reduced-noise vibration signal to obtain modulation components, and extracting a fault characteristic frequency. The fault diagnosis method employing enhanced modulation signal bispectrum analysis for a rolling bearing effectively extracts weak characteristic information of a faulty bearing amidst high background noise, thereby facilitating early fault detection of bearings.
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