Asymmetricity Diagnosis in Wind Turbine-Based Permanent Magnet Synchronous Generators

Ali Amirizaniani, Yubin Lin, Dongqin Li, Feng Shou Gu, Andrew D. Ball

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

Abstract

Efficient condition monitoring is essential for reliable wind energy from turbines. Asymmetricity in Permanent Magnet Synchronous Generators (PMSGs), stemming from various factors like rotor core, stator core and air gap, is often related to imbalances, affecting efficiency and performance due to uneven design or operation, causing fluctuations in voltage and mechanical stress. It is obvious that different reasons for asymmetricity have different sign in (PMSGs), outputs. This asymmetrical air gap in (PMSGs) is closely connected to the concept of eccentricity. Eccentricity refers to the misalignment or non-uniformity in the center of rotation of the rotor concerning the center of the stator. The study focuses on detecting eccentricity in PMSGs. Investigation of stator current is employed to effectively identify eccentricity in faulty PMSGs. The index is based on analysis. The research investigates the amplitude of sideband components exhibiting a specific frequency pattern extracted from the stator current spectrum. Additionally, it investigates the stator current spectrum of faulty PMSGs during different wind speed and real-world operation to showcase the proposed index’s efficiency in identifying eccentricity faults. The comparative analysis of the results supports the effectiveness of the introduced index in detecting eccentricity faults in PMSGs, thereby contributing to the overall improvement of wind turbine performance and reliability. These findings demonstrate the practical potential of the proposed fault diagnosis approach for real-world wind energy applications.

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
Pages123-133
Number of pages11
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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