The invention belongs to the technical field of
electric vehicle speed reducers, and relates to a PSO-MCKD-based gear early fault diagnosis method, which comprises the following steps: firstly, adaptively optimizing parameters L and T in an MCKD
algorithm by applying PSO for an acquired gear early fault
signal containing a relatively weak gear early fault
signal; based on the MCKD
algorithm after parameter optimization,
impact component enhancement is carried out on the early fault
signal; thirdly, analyzing the enhanced signal by using an envelope
spectrum analysis method, and comparing the enhanced signal with a theoretical fault feature; and finally, outputting a diagnosis result. According to the method, the problem that the parameters L and T of the MCKD cannot be optimal at the same time is solved,
adaptive optimization is carried out on the parameters of the MCKD by adopting PSO, the problem that early fault features of the gear cannot be accurately extracted is solved,
noise reduction is carried out on an original signal by using the optimized MCKD, and envelope spectrum
demodulation is carried out to extract the fault features, so that the accuracy of the fault
feature extraction is improved. And the efficiency and accuracy of early weak fault feature diagnosis of the gear are improved.