A Novel Fault Feature Extraction Method for Planet-Bearing Based on Generalized Total Variation Model

作     者：Wang, Zhile Guo, Yu Kang, Wei Chen, Xin 

作者机构：Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Kunming650500 China 

出 版 物：《IEEE Sensors Journal》 (IEEE Sensors J.)

年 卷 期：2025年第25卷第11期

页      面：20870-20879页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0802[工学-机械工程] 0701[理学-数学] 

基　　金：This work was supported in part by Yunnan Fundamental Research Projects under Grant 202501CF070185  in part by the National Natural Science Foundation of China under Grant 52405593  and in part by Yunnan Provincial Department of Education\u2019s Higher Education Serving Key Industries Science and Technology Project under Grant FWCYZNT2024007 

主　　题：Computational efficiency 

摘      要：Planet-bearing plays a critical role in supporting planet gear and transmitting power, yet their fault-induced vibrations are inherently modulated by time-varying transmission paths, and thus, it brings significant challenges to fault feature extraction. Therefore, this means that it is imperative to develop a robust fault analysis methodology. For one thing, this article adopts minimum noise amplitude deconvolution (MNAD) to deal with the fault signal of planet-bearing inner ring. It is different from the traditional blind deconvolution method, mainly by suppressing the marked area noise components, which indirectly makes the fault feature prominent. For another, the first-order total variation model is prone to fall into the gradient effect problem. It takes into account the regular term of higher order total variational to achieve the purpose of minimizing approximation. In addition, two gradient weight parameters are introduced to balance the difference operator with different orders. For this reason, the generalized total variational denoising model (GTVDM) is constructed, and then, the angular domain signal filtered by MNAD is input into this model. Meanwhile, it utilizes the split Bregman algorithm to acquire the optimal solution of the constructed model. The core analysis process transforms an objective function optimization problem into several subproblems, significantly improving computational efficiency. Finally, the experimental validation using fault test data of planet-bearing inner ring demonstrates the combined MNAD algorithm and GTVDM framework effectively, and the fault feature order and modulation sideband caused by time-varying transmission path are observed in the squared envelope order spectrum (SEOS). © 2001-2012 IEEE.