2024
DOI: 10.1088/1361-6501/ad5de4
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A novel adaptive blind deconvolution algorithm: application to feature extraction of weak faults in RV reducer gears

Yin Tang,
Zhongliang Lv,
Xiangyu Jia
et al.

Abstract: Aiming at the problem that the non-stationary and nonlinear weak fault signal of RV (rotate vector) reducers is hard to extract fault features due to the influence of noise and transmission paths, as well as the selection of parameters for maximum correlation kurtosis deconvolution (MCKD) relies heavily on manual experience, this article proposes a fault feature extraction method based on parameter adaptive MCKD for the gear faults of RV reducers. Firstly, the sparrow search algorithm combining sine-cosine and… Show more

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