Jin Chen

TL;DR: The result shows that C4.5 and PCA-based diagnosis method has higher accuracy and needs less training time than BPNN.

TL;DR: In this paper, an ensemble empirical mode decomposition (EEMD) is applied on the low Q-factor transient impact component and satisfactory extraction result is obtained, and the original signal of rolling bearing early weak fault is decomposed by EEMD and several intrinsic mode functions (IMFs) are obtained.

TL;DR: Research results in a bearing accelerated life test show that a new robust method based on improved wavelet packet decomposition and support vector data description can reflect effectively bearing performance degradation comparing with many other parameters.

TL;DR: Wang et al. as discussed by the authors proposed a new method for bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-means, which can reflect effectively performance degradation of bearing.

TL;DR: In this article, a rolling bearing signal model is proposed based on the dynamic load analysis of a rotor bearing system, where the defect load on the surface of the bearing is divided into two parts, the alternate load and the determinate load.