Early fault detection index of rolling bearing based on integrated envelope spectrum

被引：0
|
作者：
Yang X. [1 ]
Guo Y. [1 ]
Tian T. [1 ]
Zhu Y. [1 ]
机构：
[1] Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 10期
关键词：
early fault detection; fast spectral coherence; integrated envelope spectrum ( IES); integrated envelope spectrum peak factor(IESPF); rolling element bearing;
D O I：
10.13465/j.cnki.jvs.2023.10.009
中图分类号：
学科分类号：
摘要：
Aiming at the problem that conventional statistical index is not sensitive to the early fault of bearing，an early fault detection indicator of rolling bearings, integrated envelope spectrum peak factor(IESPF)，was proposed based on integrated envelope spectrum (IES)，which was applied to bearing degradation assessment. Firstly，the signal was calculated by the algorithm of fast spectral coherence ( Fast-SCoh). Then the frequency band with rich fault information was determined according to the mapping relationship between cycle frequency and carrier frequency, and the frequency band was integrated to obtain the IES for bearing fault detection. Finally, the ratio of the maximum value in IES to the root mean square value of IES was calculated to obtain the IESPF proposed in this paper，and the degree of bearing fault was evaluated according to its value. The analysis of the experimental data and fatigue test data of artificial rolling bearing faults shows that the indexes proposed in this paper are sensitive to early faults and suitable for detection. © 2023 Chinese Vibration Engineering Society. All rights reserved.
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页码：67 / 73
页数：6
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