Numerical Study of Motor Electrical Signature for Condition Monitoring of Gear Tooth Breakage in a Motor-Gear System

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

Abstract

Gearboxes are the most significant components of an electromechanical system. They are often exposed to various abnormal working condition which causes damage to the gear. These damages can be of any form such as tooth breakage, tooth wear. Furthermore, this breakage will cause changes in gear tooth mesh stiffness, thereby reducing the gear dynamics. Recently, several attempts have been performed for the detection of localized gear tooth faults using electric signatures from induction motor with promising results. However, the interaction between the motor-gear dynamics to detect and diagnose this fault has not been fully investigated. Therefore, this study proposed a 6° of freedom (DOF) electrical motor model integrated with an 18° of freedom (DOF) gear dynamic model to fulfil the detection of gear faults using motor current signature. In this model, a comparison of electric torque and constant torque as the input for the gear model has been investigated to study the influence of electric motor torque on gear dynamic. Furthermore, this study considered different severities of tooth breakage to demonstrate the performance of motor current in gear tooth breakage detection and its location. The numerical results show an increase in amplitudes at the frequency of ƒsƒr1 and ƒsƒr2 as the severity of the fault increases at different stage of the gearbox which can reflect the presence of tooth breakage. This proposed numerical analysis does have a good agreement with the experimental validation.

Original languageEnglish
Title of host publicationProceedings of IncoME-VI and TEPEN 2021
Subtitle of host publicationPerformance Engineering and Maintenance Engineering
EditorsHao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
PublisherSpringer, Cham
Pages341-358
Number of pages18
Volume117
ISBN (Electronic)9783030990756
ISBN (Print)9783030990749
DOIs
Publication statusPublished - 18 Sep 2022
Event6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Hebei University of Technology, Tianjin, China
Duration: 20 Oct 202123 Oct 2021
Conference number: 6
https://tepen.net/conference/tepen2021/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume117
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
Abbreviated titleTEPEN-2021 and IncoME-VI
Country/TerritoryChina
CityTianjin
Period20/10/2123/10/21
Internet address

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