Study of Induction Motor Inter-Turn Fault Part I: Development of Fault Models with Distorted Flux Representation

Seong-Hwan Im and Bon-Gwan Gu
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Seong-Hwan Im: School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea
Bon-Gwan Gu: School of Energy Engineering, Kyungpook National University, Daegu 41566, Korea

Energies, 2022, vol. 15, issue 3, 1-16

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: induction motor; inter-turn fault (ITF); fault model; negative sequence current; positive sequence current; fault parameter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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