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A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy
文献类型:期刊
作者:Li, Yongbo[1]  Feng, Ke[2]  Liang, Xihui[3]  Zuo, Ming J.[4]  
机构:[1]Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Shanxi, Peoples R China.;
[2]Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Sichuan, Peoples R China.;
[3]Univ Manitoba, Dept Mech Engn, Winnipeg, MB R3T 5V6, Canada.;
[4]Univ Elect Sci & Technol China, Sch Mech & Elect Engn, Chengdu 611731, Sichuan, Peoples R China.;Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada.;
通讯作者:Zuo, MJ (reprint author), Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2G8, Canada.
年:2019
期刊名称:JOURNAL OF SOUND AND VIBRATION影响因子和分区
卷:439
页码范围:271-286
增刊:正刊
收录情况:SCI(E)(WOS:000449111800019)  EI(20184105937207)  
所属部门:航空学院
被引频次:7
人气指数:81
浏览次数:81
基金:China Postdoctoral Innovative Talent Pland, China [W016342]; National Natural Science Foundation of China, China [51805434, 51375078]; Natural Science and Engineering Research Council of Canada, Canada [RGPIN-2015-04897]; University of Manitoba Research Start-up Funds, Canada
关键词:Planetary gearbox; Vold-Kalman filter; Laplacian score; Fault pattern identification
摘要:
This paper presents a novel signal processing scheme by combining an improved Vold-Kalman filter and the multi-scale sample entropy (IVKF-MSSE) for planetary gearboxes under non-stationary working conditions. In this scheme, we propose a method based on the characteristic frequency ratio (CFR) to select the VKF bandwidth. First, a CFR is adopted to select a VKF bandwidth with the largest CFR value as the optimal VKF bandwidth. Second, IVKF is used to extract fault-induced information under time- ...More
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