Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM with Multifeatures of Envelope Spectrum

doi:10.1109/TIM.2021.3054000

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM with Multifeatures of Envelope Spectrum
	Meng, Jiadong; Yan, Changfeng; Chen, Guangyi; Liu, Yaofeng; Wu, Lixiao
刊名	IEEE Transactions on Instrumentation and Measurement
	2021
卷号	70 页码:1-16
关键词	Bearings (machine parts) Condition monitoring Health Independent component analysis Signal processing Different stages Empirical Mode Decomposition Fast independent component analysis Health indicators Health monitoring Mahalanobis distances Performance degradation Vibrational signals
ISSN号	0018-9456
DOI	10.1109/TIM.2021.3054000
英文摘要	Because a fault of bearing may cause a serious accident of the running machine, it is very important for monitoring condition and identifying the performance degradation of bearing. Two novel health monitoring indicators are proposed by root mean square with cumulative sum (rms-CUMSUM) and growth rate of real-time Mahalanobis distance with cumulative sum (GRRMD-CUMSUM) based on multifeatures of envelope spectrum for health condition monitoring of bearings. Multifeature parameters of envelope spectrum are integrated with rms and RMD based on the vibrational signal of bearings, and the GRRMD is calculated. The rms and GRRMD are processed by the CUMSUM method. The rms-CUMSUM and GRRMD-CUMSUM can represent the tendency and rate of bearings' performance degradation, respectively. The different stages of bearings' performance degradation can be classified using the initial fault time and the special turning point of GRRMD-CUMSUM reference to rms-CUMSUM. The initial fault time is roughly estimated by the abrupt warning point of RMD, and further accurately determined by the backtracking strategy with the interval-halving principle by fast independent component analysis based on empirical mode decomposition (EMD-Fast ICA). The proposed approach was verified by two different experimental data sets. The experimental results show that the proposed approach is simple and efficient for determining the initial fault, assessing, and classifying the performance degradation of bearings. © 1963-2012 IEEE.
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147744]
专题	机电工程学院
作者单位	School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Meng, Jiadong,Yan, Changfeng,Chen, Guangyi,et al. Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM with Multifeatures of Envelope Spectrum[J]. IEEE Transactions on Instrumentation and Measurement,2021,70:1-16.
APA	Meng, Jiadong,Yan, Changfeng,Chen, Guangyi,Liu, Yaofeng,&Wu, Lixiao.(2021).Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM with Multifeatures of Envelope Spectrum.IEEE Transactions on Instrumentation and Measurement,70,1-16.
MLA	Meng, Jiadong,et al."Health Indicator of Bearing Constructed by rms-CUMSUM and GRRMD-CUMSUM with Multifeatures of Envelope Spectrum".IEEE Transactions on Instrumentation and Measurement 70(2021):1-16.