Real-time identification of performance degradation stages of rolling element bearings by RVCFI

doi:10.1088/1361-6501/ac6660

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	Real-time identification of performance degradation stages of rolling element bearings by RVCFI
	Meng, Jiadong 1,2; Yan, Changfeng 2; Wen, Tao 3; Wang, Zonggang 4; Chen, Guangyi 2; Wu, Lixiao 2
刊名	Measurement Science and Technology
	2022-08-01
卷号	33 期号:8
关键词	Condition based maintenance Condition monitoring Degradation Singular value decomposition Degradation stages Envelope spectra Fault time Initial faults Monitoring indicators Performance degradation Performance degradation stage Rate of variation coefficient of fused indicator Rolling Element Bearing Variation coefficient
ISSN号	0957-0233
DOI	10.1088/1361-6501/ac6660
英文摘要	The rolling element bearing is a critical component, and its fault results in most of the faults in rotary machines. The performance condition monitoring of bearings can improve the safety of equipment and can provide a reasonable maintenance plan at the optimal time. To identify the initial fault time (IFT) and performance degradation stages of a bearing based on the sampling signal from the start to the current time in real time, the monitoring indicator of the initial fault (MIIF) and the monitoring indicator of the degradation stages (MIDS) are constructed. Firstly, multiple features with stable and high robustness are calculated based on the envelope spectrum of the vibration signal. And these features are standardized and integrated by the weighted-sum of multiple standardized features into a fused indicator. Then, the online variation coefficient of the fused indicator and its rate are calculated. Finally, the MIIF and MIDS can be obtained using the variation coefficient and cumulative sum based on the rate of the variation coefficient of the fused indicator, respectively. Meanwhile, the adaptivity and versatility of the multi-resolution singular value decomposition algorithm are also improved. The proposed methods are verified using two public tested data packets. It is shown from the results that the methods are able to efficiently identify the IFT and performance degradation stages of a bearing in a timely manner. © 2022 IOP Publishing Ltd.
WOS研究方向	Engineering ; Instruments & Instrumentation
语种	英语
出版者	Institute of Physics
WOS记录号	WOS:000800361100001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158478]
专题	机电工程学院
作者单位	1.School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou, China; 2.School of Mechanical & Electronical Engineering, Lanzhou University of Technology, Lanzhou, China; 3.Gansu Computing Center, Lanzhou, China; 4.College of Physics & Electromechanical Engineering, Hexi University, Zhangye, China
推荐引用方式 GB/T 7714	Meng, Jiadong,Yan, Changfeng,Wen, Tao,et al. Real-time identification of performance degradation stages of rolling element bearings by RVCFI[J]. Measurement Science and Technology,2022,33(8).
APA	Meng, Jiadong,Yan, Changfeng,Wen, Tao,Wang, Zonggang,Chen, Guangyi,&Wu, Lixiao.(2022).Real-time identification of performance degradation stages of rolling element bearings by RVCFI.Measurement Science and Technology,33(8).
MLA	Meng, Jiadong,et al."Real-time identification of performance degradation stages of rolling element bearings by RVCFI".Measurement Science and Technology 33.8(2022).