Transient signal analysis based on LevenbergMarquardt method for fault feature extraction of rotating machines
Double-side asymmetric transient model is built based on parametric Morlet wavelet. The LevenbergMarquardt method is used to identify the model parameters. An iterative extraction technique is proposed for transient signal analysis. The performance is verified by a simulation signal and some practical applications. The comparison study shows that the proposed method outperforms EEMD and SK.
levenbergmarquardt method feature extraction transient modeling fault diagnosis parameter identification