A Comparative Study of Acoustic and Vibration Signals for Bearing Fault Detection and Diagnosis Based on MSB Analysis

Alsadak Daraz, Samir Alabied, Fengshou Gu, Andrew D. Ball

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

Abstract

Bearing is of a crucial part/element of all rotating machines. The main purpose of the rolling element in any rotating machine is to maintain rotating parts in their correct arrangement relative to stationary parts when under the action of radial and axial loads. The centrifugal pump is generally used to transfer fluid from one place to another and early detection of bearing faults allows proper action to be taken to maintain and/or improve performance and reduce lifetime cost. The focus of this study is to enhance the condition monitoring of the bearings in centrifugal pumps. The airborne sound signature and its remote measurement and analysis does away with the need to mount additional sensors as is the case of surface vibration measurement. However, a serious difficulty in detecting and diagnosing machine faults via traditional approaches is the high level of background noise, particularly with airborne sound signals. Thus, here the modulation signal bispectrum (MSB) which has ability to substantially reduce noise and detect nonlinear components has been used. The results obtained show that the MSB applied to airborne sound and the vibration signatures enhances detection and diagnosis of outer race bearing faults. Also, for detecting inner race defects, the results show that the diagnostic features obtained applying the MSB to the acoustic signal are more accurate and show a better separation between healthy and faulty cases than those obtained using the vibration signal.

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
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages854-868
Number of pages15
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

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

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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