A Comparative Analysis of Two Winding Distribution Approaches for Fault Simulations of Induction Motors

Yinghang He, Dawei Shi, Zhexiang Zou, Yu Lin, Fengshou Gu, Andrew D. Ball

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

Abstract

To extract the small fault signatures in motor current signals, the impact of different winding distribution approaches is explored based on simulation and experiment for typical rotor faults such as broken rotor bar (BRB) in induction motors (IMs). The research focus is on the comparison of current responses obtained from two common methods: the trapezoidal and sinusoidal winding distributions. They are realised using the multiple coupled circuit (MCC) models which are deemed to be efficient and accurate. The simulation results from a 4-pole 4 kW AC motor confirms that both approaches can adequately simulate the twice slip characteristic frequency components around the supply frequency under BRB fault conditions. Moreover, the trapezoidal winding distribution approach can also yield features in the higher frequency range, allowing rotor bar pass frequency components and BRB frequency components to be simulated. In particular, the BRB components also presents them as the sidebands of the rotor frequency modulating with supply frequency. Through experimental testing, it confirmed that the trapezoidal winding distribution approach provides a more accurate reflection of the stator current characteristics under BRB fault conditions. This finding has demonstrated the viability of the trapezoidal distribution method as a potent approach for enhancing the diagnosis and detection of not only BRB but also rotor eccentricity and bearing deterioration by including the high frequency information inside current signatures.

Original languageEnglish
Title of host publicationProceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) - Volume 2
EditorsAndrew D. Ball, Huajiang Ouyang, Jyoti K. Sinha, Zuolu Wang
PublisherSpringer, Cham
Pages81-95
Number of pages15
Volume152
ISBN (Electronic)9783031494215
ISBN (Print)9783031494208, 9783031494239
DOIs
Publication statusPublished - 29 May 2024
EventThe UNIfied Conference of DAMAS, InCoME and TEPEN Conferences - Huddersfield, United Kingdom, Huddersfield, United Kingdom
Duration: 29 Aug 20231 Sep 2023
https://unified2023.org/

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume152 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceThe UNIfied Conference of DAMAS, InCoME and TEPEN Conferences
Abbreviated titleUNIfied 2023
Country/TerritoryUnited Kingdom
CityHuddersfield
Period29/08/231/09/23
Internet address

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