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Health condition identification of planetary gearboxes based on variational mode decomposition and generalized composite multi-scale symbolic dynamic entropy
文献类型:期刊
作者:Li, Yongbo[1]  Li, Guoyan[2]  Wei, Yu[3]  Liu, Binbin[4]  Liang, Xihui[5]  
机构:[1]Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shanxi, Peoples R China.;
[2]Taiyuan Univ Technol, Minist Educ, Key Lab Adv Transducers & Intelligent Control Sys, Taiyuan 030024, Shanxi, Peoples R China.;
[3]Univ Toronto, Dept Mech Engn, Toronto, ON M5S 1A1, Canada.;
[4]Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shanxi, Peoples R China.;
[5]Univ Manitoba, Dept Mech Engn, E1-556 EITC Bldg,75A Chancellors Circle, Winnipeg, MB R3T 5V6, Canada.;
通讯作者:Liang, XH (reprint author), Univ Manitoba, Dept Mech Engn, E1-556 EITC Bldg,75A Chancellors Circle, Winnipeg, MB R3T 5V6, Canada.
年:2018
期刊名称:ISA TRANSACTIONS影响因子和分区
卷:81
页码范围:329-341
增刊:正刊
收录情况:SCI(E)(WOS:000449897700028)  (29903426)  
所属部门:航空学院
被引频次:5
人气指数:55
浏览次数:55
关键词:Generalized composite multi-scale symbol dynamic entropy (GCMSDE); Variational mode decomposition (VMD); Fault diagnosis; Planetary gearbox
摘要:
This paper proposes a novel fault diagnosis method based on variational mode decomposition (VMD) and generalized composite multi-scale symbol dynamic entropy (GCMSDE) to identify the different health conditions of planetary gearboxes. First, VMD is adopted to remove the noises and highlight the fault symptoms. Second, GCMSDE is utilized to extract the fault features from the denoised vibration signals. Third, the Laplacian score (LS) approach is employed to refine the fault features. Finally, th ...More
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