Chapter 12
Application of Kurtosis Analysis in Fault
Detection of Rolling Bearing
Yang Yu, Yangyang Guo, and Ping Yang
Abstract As the joint of rotating machinery, rolling bearing plays an important role
in the development of national industry. Its performance and working condition will
directly affect the performance of the whole mechanical equipment. According to
statistics, 30% of the faults in rotating machinery are caused by bearings. Therefore, the study of the fault mechanism of rolling bearings has practical significance
for reducing the maintenance cost of equipment and ensuring the long-term safe
and stable operation of equipment. In this paper, the traditional kurtosis analysis is
improved, and equal time difference kurtosis analysis is created according to the practical application. Equal time difference kurtosis analysis is to calculate the kurtosis
value of the data in a fixed time interval, which is easy to highlight the periodic
characteristics of the signal, and is conducive to the identification and analysis of the
acoustic emission signal. It can be seen from the analysis results that the method of
equal time difference kurtosis analysis can make a good qualitative analysis on the
damage degree of rolling bearing.
12.1 Introduction
In all kinds of mechanical operation, rolling bearing plays a very important role.
The quality of rolling bearing is the key to ensure the safe operation of machinery.
According to relevant statistics, about 30% of mechanical failures are caused by
the damage of rolling bearings, and the high failure rate of rolling bearings has
always been the focus of researchers [1]. There are many reasons for the fault of
rolling bearing after running for a certain period of time, including unreasonable
design, poor installation process, bad working environment, drastic load change,
etc. [2]. These defects aggravate the deterioration of mechanical operation, resulting
in the change of rolling bearing operation state, which will directly threaten the
safety and normal service life of machinery. In high-speed operation, the abnormal
change of rolling bearing will be intensified, and then a major accident will occur,
Y. Yu · Y. Guo (B) · P. Yang
Shenyang University of Technology, Shenyang 110870, China
e-mail: 1316817411@qq.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_12
127
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