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)
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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