A Numerical Analysis of Internal Radial Clearances on Affecting Vibration of Rolling Element Bearings with Local Defects

Minmin Xu, Yimin Shao, Yaoyao Han, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rolling element bearing is an essential component in rotating machines and its condition monitoring has attracted much concern in past decades. Bearing vibration response analysis will provide theoretical basis for fault diagnosis and maintenance of the machinery. In view of bearing usually go through various wear during operating process, resulting in increase of clearance, this paper presents a nonlinear bearing vibration model of deep groove ball bearings to explore the vibration responses affected by bearing internal radial clearance, rotational speed and external load, as well as the diagnosis features for condition monitoring. A nonlinear dynamic model with six degrees of freedom was established at first. Then, numerical simulation was implemented. Lastly, a comprehensive analysis from time domain and frequency domain were carried out based on statistical indicators and spectra. Numerical results show that information from frequency domain outperforms statistical indicators from time domain for bearing clearance monitoring. To bearings with local defects on outer and inner races, the ball pass frequency of outer race (BPFO) and ball pass frequency of inner race (BPFI) shows uptrends with the increase of bearing clearances in general, respectively. However, there are fluctuates in BPFI for inner race fault, which needs special care in fault detection. Besides, spectral centroid has better performance on monitoring clearances of bearing with local defects. All these findings provide theory and data support for bearing fault diagnosis at an early stage.

Original languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
PublisherSpringer, Cham
Pages1-13
Number of pages13
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757953, 9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering: IncoME-V and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network: IncoME-V & CEPE Net-2020 - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering: IncoME-V and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
CountryChina
CityZhuhai
Period23/10/2025/10/20

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