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Fault classification and diagnosis of transmission system based on time domain characteristics of vibration signal
Published:2024-11-21 author:ZHANG Qiuxin, LV Yuan, JIAN Hongying, et al. Browse: 132 Check PDF documents

Fault classification and diagnosis of transmission system based on time 
domain characteristics of vibration signal


ZHANG Qiuxin1, LV Yuan1, JIAN Hongying1, YUAN Junjie2, ZHANG Xiliang1

(1.School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China; 
2.College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China)


Abstract:  The packaging machine works for a long time in reciprocating variable speed movement and high dust and water vapor concentration environment, and the rolling bearings in its transmission system are prone to corrosion failure and fatigue failure. Aiming at this problem, based on the time domain characteristics of vibration signal, the fault diagnosis of rolling bearing in the transmission system of packaging machine was studied. Firstly, taking the deep groove ball bearing 6002 as the research object, the vibration signals under different packaging speeds were collected. Combining with the structure and working mechanism of the packaging machine transmission system, the characteristics and types of common faults were studied, and the data segment with the least external interference was selected from the vibration signal. Then, the amplitude change and power spectrum analysis of the selected data segments were carried out to verify the same motion characteristics or motion process, so as to further obtain the rotational speeds of any data segments at the same timline were consistent, and these signals were in a ‘relatively stable motion state’. Finally, the time domain indexes such as skewness, kurtosis and peak were used to analyze the data segment, and the fault feature interval was obtained for fault diagnosis. The research results show that the data segments are in a ‘relative steady-state motion’ in this state, which solves the problem that the time-domain information of traditional variable motion is not available, and improves the diagnostic efficiency and stability of the time-domain index. In particular, the diagnostic accuracy of the peak index reaches more than 80%. The research method meets the requirements of real-time online diagnosis in industrial production, and also provides reference value for fault diagnosis of other rotating machinery.

Key words: packaging machine transmission system; rolling bearings; fault diagnosis; corrosion failure; fatigue failure; dynamic characteristics of vibration signal; time domain index
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