Self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation

摘要: The invention relates to a self-adaptive failure diagnosis method of rotary mechanical component based on continuous wavelet transformation. comprises the following steps of: 1, performing zero-mean preprocessing an acquired discrete initial vibration signal obtain preprocessed from which direct-current is eliminated; 2, transformation obtained in step 1 coefficient corresponds each scale parameter; 3, calculating kurtosis parameter 2 respectively; 4, searching for large 3 with algorithm configure optimal analysis signal; and 5, envelope demodulation 4 signal. has beneficial effects that: accuracy increased, particularly suitable parts impact damages.