Yongfang Mao

TL;DR: In this article, a new method for mechanical fault diagnosis based on iterated Hilbert transform (IHT) is proposed, and the analysis results of the mechanical fault signals show that the weak features of these signals can be efficiently extracted with the proposed approach.

TL;DR: In this article, the authors proposed a new vibration signal component separation approach by iteratively using basis pursuit, where the signal is first denoised by basis pursuit denoising and the impulsive component can be separated by using identity matrix and redundant Fourier basis.

TL;DR: Experimental and comparative results show that the proposed method can be more effectively and accurately applied to the fault diagnosis of planetary gear transmission systems compared with typical fault diagnosis methods based on analytic flexible wavelet transform, Morlet wavelettransform, and infograms.

TL;DR: In this paper, the authors proposed a new transient feature extraction approach using the optimized Morlet wavelet transform, kurtosis index and soft-thresholding, which has lower computation complexity compared to the existing wavelet parameter optimization algorithm.

TL;DR: A parameter sharing adversarial domain adaptation network (PSADAN) is proposed that constructs a shared classifier to unify fault classifiers and domain classifiers to reduce the complexity of network structure and adds the CORAL loss for adversarial training to enhance the domain confusion.