Detection of bearing damage by statistic vibration analysis

International Conference on Mechanical Engineering, Automation and Control Systems 2015

机械制造;无线电电子学;计算机科学

Sikora, E.A.^1

Department of Automation and Robotics in Mechanical Engineering, Tomsk Polytechnic University, 30, Lenina ave., Tomsk

634050, Russia^1

关键词: Acoustic signals;    Bearing damage;    Bearing fault;    Bearing vibrations;    Mechanical failures;    Outer races;    Rolling bearings;    Vibration signal;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/124/1/012167/pdf
DOI  :  10.1088/1757-899X/124/1/012167

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The condition of bearings, which are essential components in mechanisms, is crucial to safety. The analysis of the bearing vibration signal, which is always contaminated by certain types of noise, is a very important standard for mechanical condition diagnosis of the bearing and mechanical failure phenomenon. In this paper the method of rolling bearing fault detection by statistical analysis of vibration is proposed to filter out Gaussian noise contained in a raw vibration signal. The results of experiments show that the vibration signal can be significantly enhanced by application of the proposed method. Besides, the proposed method is used to analyse real acoustic signals of a bearing with inner race and outer race faults, respectively. The values of attributes are determined according to the degree of the fault. The results confirm that the periods between the transients, which represent bearing fault characteristics, can be successfully detected.