Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating Machine fault diagnosis

Mechanical Systems and Signal Processing(2023)

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摘要
•Optimized weights spectrum autocorrelation (OWSAC) is newly proposed to identify fault characteristic frequencies.•OWSAC demodulates signals from the frequency domain.•OWSAC is autocorrelation of a purified spectrum in which interferential and noise spectral lines are automatically eliminated.•Two case studies demonstrate the superiority of the proposed OWSAC to five existing methods.
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关键词
Fault characteristic frequency,Fault diagnosis,Optimized weights spectrum,Autocorrelation,Envelope spectrum analysis,Spectral coherence,Fast kurtogram
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