LAPSE:2023.15739
Published Article
LAPSE:2023.15739
Study of Induction Motor Inter-Turn Fault Part I: Development of Fault Models with Distorted Flux Representation
March 2, 2023
Abstract
An inter-turn fault (ITF) is one of the most frequent induction motor faults; thus, many previous works have studied its model and diagnosis. However, previous works, simplifying the specific distorted flux distribution by the ITF, presented induction motor fault models and focused on the fault signal analysis for diagnoses. Consequently, these results are only adequate for the pretested motor and sensitive to fault signal distortion. This paper presents an induction motor ITF model in the stationary DQ frame, for a model-based diagnosis. Furthermore, to describe the distorted flux distribution along the air gap by the ITF, the rotor flux linkages are described in the independent DQ frame of every pole, and the mutual flux linkages among the rotor, stator, and ITF windings are specifically modeled. Hence, the proposed full model has many current states and mutual inductances to describe the high pole number motor. A simplified model is also proposed for easier usage in the diagnosis, with light ITF to overcome this complexity. Finally, simulation and experiments are performed to verify the presented induction motor ITF fault models.
Keywords
fault model, fault parameter, induction motor, inter-turn fault (ITF), negative sequence current, positive sequence current
Suggested Citation
Im SH, Gu BG. Study of Induction Motor Inter-Turn Fault Part I: Development of Fault Models with Distorted Flux Representation. (2023). LAPSE:2023.15739
Author Affiliations
Im SH: School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea [ORCID]
Gu BG: School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
894
Year
2022
Publication Date
2022-01-26
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15030894, Publication Type: Journal Article
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LAPSE:2023.15739
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https://doi.org/10.3390/en15030894
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