Incipient fault detection of rolling bearing using maximum autocorrelation impulse harmonic to noise deconvolution and parameter optimized fast EEMD

被引：71

作者：

Zheng, Kai ^{[1
]}

Luo, Jiufei ^{[1
]}

Zhang, Yi ^{[1
]}

Li, Tianliang ^{[2
]}

Wen, Jiafu ^{[1
]}

Xiao, Hong ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Adv Mfg Engn, Chongqing, Peoples R China

[2] Nanyang Technol Univ, SMRT NTU Smart Urban Rail Corp Lab, Singapore, Singapore

来源：

ISA TRANSACTIONS | 2019年 / 89卷

基金：

中国国家自然科学基金;

关键词：

Bearing fault diagnosis; Fast EEMD; IMF selection indicator; Maximum autocorrelation impulse harmonic to noise deconvolution (MAIHND); EMPIRICAL MODE DECOMPOSITION; CORRELATED KURTOSIS DECONVOLUTION; MINIMUM ENTROPY DECONVOLUTION; DIAGNOSIS; ENHANCEMENT; SIGNALS; SVD;

D O I：

10.1016/j.isatra.2018.12.020

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Incipient Fault Detection of Rolling Bearing with heavy background noise and interference harmonics is a hot topic. In this paper, a new method based on parameter optimized fast EEMD (FEEMD) and Maximum Autocorrelation Impulse Harmonic to Noise Deconvolution (MAIHND) method is proposed for detecting the incipient fault of rolling bearing. Firstly, the FEEMD method with parameters optimization is used to reduce the noise and eliminate the interference harmonics of the fault signal. As a noise assistant improved method, the FEEMD can reduce the mode mixing and enhance the calculation efficiency significantly. Secondly, a new indicator is developed to select the sensitive IMF. Finally, a novel MAIHND method is employed to extract impulse fault feature from the sensitive IMF. Simulation and experiments results indicated that the proposed parameter optimized FEEMD-MAIHND method can effectively identify the weak impulse fault feature of rolling bearing. Moreover, the excellent performance of the proposed indicator for sensitive IMF component selection and MAIHND method is verified. (C) 2018 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：256 / 271

页数：16

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