Induction Motor Stator Winding Inter-Tern Short Circuit Fault Detection Based on Start-Up Current Envelope Energy

Author:

Chen Liting12,Shen Jianhao12,Xu Gang12,Chi Cheng12,Feng Qiaohui12,Zhou Yang12ORCID,Deng Yuanzhi12ORCID,Wen Huajie12

Affiliation:

1. College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, China

2. The Shenzhen Key Laboratory of Urban Rail Transit, Shenzhen Technology University, Shenzhen 518118, China

Abstract

Inter-turn short circuit (ITSC) is a common fault in induction motors. However, it is challenging to detect the early stage of ITSC fault. To address this issue, this paper proposes an ITSC fault detection method for three-phase induction motors based on start-up current envelope energy. This approach uses Akima interpolation to calculate the envelope of the measured start-up current of the induction motor. A Gaussian window weighting is applied to eliminate endpoint effects caused by the initial phase angle, and the enveloping energy is obtained using the energy formula as the fault feature. Finally, by combining this with the support vector machine (SVM) classification learner, fault detection of ITSC in induction motors is achieved. The experimental results show that the average accuracy of this method reaches 96.9%, which can quickly and accurately detect ITSC faults in asynchronous motors and determine the severity of the faults. Furthermore, the average accuracy of SVM in detecting early ITSC faults under no-load conditions is 98.8%, which is higher than other classification learners, including LR, KNN, and NN. This study provides a new idea for induction motor fault detection and can contribute to induction motor maintenance.

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Shenzhen Municipality

Ordinary University Engineering Technology Development Center Project of Guangdong Province

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference37 articles.

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