Statistical and frequency analysis of acoustic signals for condition monitoring of ball bearing

被引：21

作者：

Kumar, Sanjay ^{[1
]}

Goyal, Deepam ^{[2
]}

Dhami, Sukhdeep S. ^{[2
]}

机构：

[1] IK Gujral Punjab Tech Univ, Dept Mech Engn, Kapurthala 144603, Pb, India

[2] NITTTR, Dept Mech Engn, Chandigarh 160019, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2018年 / 5卷 / 02期

关键词：

Ball bearings; condition monitoring; bearing defects; statistical parameters; acoustic signature; ROLLING ELEMENT BEARINGS; MAINTENANCE; VIBRATION;

D O I：

10.1016/j.matpr.2017.12.100

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Condition monitoring of ball bearing is important as they are a common component in machinery that finds widespread industrial applications. Early warning of an approaching bearing failure is fundamental to guarantee the machine availability by timely maintenance actions and diminishing breakdown. In this paper, the statistical and frequency analysis of acoustic signals were performed for the detection of bearing defects. The results show that the statistical parameters can be used to detect different types of faults in ball bearings. The power spectral density analysis shows that bearings with different physical conditions running at different speeds emit acoustic signals with different power spectrums. (c) 2017 Elsevier Ltd. All rights reserved.

引用

页码：5186 / 5194

页数：9

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