文献类型：期刊文献

英文题名：A novel approach for adaptively separating and extracting compound fault features of the in-wheel motor bearing

作者：Tao, Yukun[1,2];Ge, Chun[1,2];Feng, Han[1,2];Xue, Hongtao[1,2];Yao, Mingyu[3];Tang, Haihong[4];Liao, Zhiqiang[5];Chen, Peng[2]

机构：[1]Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Peoples R China;[2]Int Joint Lab Mobil Equipment & Artificial Intelli, Zhenjiang 212013, Peoples R China;[3]Zhengzhou Univ, Int Coll, Zhengzhou 450000, Peoples R China;[4]Zhejiang Ocean Univ, Sch Marine Engn Equipment, Zhoushan 316022, Peoples R China;[5]Guangdong Ocean Univ, Naval Architecture & Shipping Coll, Zhanjiang 524088, Peoples R China

年份：2025

卷号：159

起止页码：337

外文期刊名：ISA TRANSACTIONS

收录：SCI-EXPANDED(收录号：WOS:001460661200001)、、EI(收录号：20250617812386)、Scopus(收录号：2-s2.0-105001229555)、WOS

语种：英文

外文关键词：In-wheel motor; Bearing compound faults; Feature extraction; Non-negative matrix factorization; Multipoint optimal minimum entropy; deconvolution adjusted

外文摘要：For compound fault detection of in-wheel motor bearings, this paper proposes a novel approach to adaptively separate multi-source signals and extract compound fault features. Building upon blind source separation (BSS), this approach integrates blind deconvolution to address the challenge of extracting weak features. To resolve the undetermined condition of BSS and enhance feature expression, an adaptive signal reconstruction strategy based on local mean decomposition is proposed. Non-negative matrix factorization, a commonly used BSS method, is refined to suit practical applications by adopting the Itakura-Saito distance and the sparse constraint. Then, fault source signals are adaptively identified based on the proposed envelope spectrum peak factor. By introducing a new waveform extension strategy to effectively reduce the endpoint effect, multipoint optimal minimum entropy deconvolution adjusted is improved and used to enhance and extract weak features. Simulation and experimental results validate the effectiveness and robustness of the proposed approach across various stable working conditions and different types of compound faults.