作者其他论文
文献详情
Fault Diagnosis of Rolling Bearing Under Speed Fluctuation Condition Based on Vold-Kalman Filter and RCMFE
文献类型:期刊
作者:Li, Yongbo[1]  Wei, Yu[2]  Feng, Ke[3]  Wang, Xianzhi[4]  Liu, Zhenbao[5]  
机构:[1]Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China.;
[2]Harbin Inst Technol, Harbin 150001, Heilongjiang, Peoples R China.;
[3]Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China.;
[4]Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China.;
[5]Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China.;
通讯作者:Liu, ZB (reprint author), Northwestern Polytech Univ, Xian 710072, Shaanxi, Peoples R China.
年:2018
期刊名称:IEEE ACCESS影响因子和分区
卷:6
页码范围:37349-37360
增刊:正刊
收录情况:SCI(E)(WOS:000439698700071)  
被引频次:3
人气指数:41
浏览次数:39
基金:NWPU Start-Up Research Fund [G2018KY0301]; Civil Aircraft Special Project [MJ-2015-Y-077]; Natural Science Foundation of China [61672430]; NWPU Basic Research Fund [3102018jcc001]
关键词:Rolling bearing; variable speed conditions; Vold-Kalman filtering (VKF); refined composite multi-scale fuzzy entropy (RCMFE); fault pattern identification
摘要:
Rolling bearings' operation under variable speed conditions exhibits complex time-varying modulations and spectral structures, resulting in difficulty in the fault diagnosis. In order to effectively remove the influence of the rotational speed and extract the fault characteristics, this paper develops a fault diagnosis scheme based on the Vold-Kalman filter (VKF), refined composite multi-scale fuzzy entropy (RCMFE), and Laplacian score (LS). In the proposed method, the VKF is first adopted to re ...More
0
评论(0 条评论)
登录