Review of local mean decomposition and its application in fault diagnosis of rotating machinery

作     者：LI Yongbo SI Shubin LIU Zhiliang LIANG Xihui 

作者机构：MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710072China School of Mechanical and Electrical EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China Department of Mechanical EngineeringUniversity of ManitobaWinnipeg R3T 5V6Canada 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2019年第30卷第4期

页      面：799-814页

核心收录：

学科分类：0808[工学-电气工程] 1002[医学-临床医学] 0809[工学-电子科学与技术（可授工学、理学学位）] 0802[工学-机械工程] 100214[医学-肿瘤学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(51805434 71771186 71631001) the Postdoctoral Innovative Talent Plan of China(BX20180257) the Postdoctoral Science Funds of China(2018M641021) the Key Research Program of Shaanxi Province(2019KW-017) the Natural Science and Engineering Research Council of Canada(RGPIN-2019-05361) 

主　　题：local mean decomposition(LMD) signal processing gear rotor bearing 

摘      要：Rotating machinery is widely used in the *** are vulnerable to many kinds of damages especially for those working under tough and time-varying operation *** detection of these damages is important,otherwise,they may lead to large economic loss even a *** signal processing methods have been developed for fault diagnosis of the rotating *** mean decomposition(LMD)is an adaptive mode decomposition method that can decompose a complicated signal into a series of mono-components,namely product functions(PFs).In recent years,many researchers have adopted LMD in fault detection and diagnosis of rotating *** give a comprehensive review of LMD in fault detection and diagnosis of rotating ***,the LMD is *** advantages,disadvantages and some improved LMD methods are ***,a comprehensive review on applications of LMD in fault diagnosis of the rotating machinery is *** review is divided into four parts:fault diagnosis of gears,fault diagnosis of rotors,fault diagnosis of bearings,and other LMD *** each of these four parts,a review is given to applications applying the LMD,improved LMD,and LMD-based combination methods,*** give a summary of this review and some future potential topics at the end.