Zero-Sequence Voltage Outperforms MCSA-STFT for a Robust Inter-Turn Short-Circuit Fault Diagnosis in Three-Phase Induction Motors: A Comparative Study Article Swipe

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Mouhamed Houili , Mohamed Sahraoui , António J. Marques Cardoso , Abdeldjalil Alloui ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.3390/machines13060501

Three-phase induction motors are widely adopted in industrial systems due to their robustness, ease of maintenance, and simple operation. However, they are prone to various types of faults, notably stator winding faults. Previous research indicates that 20–40% of three-phase induction motor failures are stator-related, with inter-turn short circuits as a leading cause. These faults can pose significant risks to both the motor and connected equipment. Therefore, the early detection of inter-turn short circuit (ITSC) faults is essential to prevent system breakdowns and improve the safety and reliability of industrial operations. This paper presents a comparative investigation of two distinct diagnostic methodologies for the detection of ITSC faults in induction motors. The first methodology is based on a Motor Current Signature Analysis (MCSA) utilizing the short-time Fourier transform (STFT) for the real-time monitoring of fault-related harmonics. The second methodology is centered around the monitoring of the zero-sequence voltage (ZSV). The findings from several experimental tests performed on a 1.1 kW three-phase induction motor across a range of operating conditions highlight the superior performance of the ZSV method with respect to the MCSA-based STFT method in terms of reliability, rapidity, and precision for the diagnosis of ITSC faults.

Related Topics

Short-Time Fourier Transform

Artificial Intelligence

Electrical Engineering

Mathematical Analysis

Concepts

Induction motor Fault (geology) Zero (linguistics) Control theory (sociology) Short circuit Phase (matter) Voltage Turn (biochemistry) Sequence (biology) Short-time Fourier transform Computer science Algorithm Engineering Mathematics Artificial intelligence Electrical engineering Physics Fourier transform Genetics Geology Quantum mechanics Linguistics Biology Seismology Control (management) Fourier analysis Philosophy Mathematical analysis Nuclear magnetic resonance

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/machines13060501
PDF: https://www.mdpi.com/2075-1702/13/6/501/pdf?version=1749291833
OA Status: gold
Cited By: 3
References: 52
Related Works: 10
OpenAlex ID: https://openalex.org/W4411153996

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DOI: https://doi.org/10.3390/machines13060501

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Title: Zero-Sequence Voltage Outperforms MCSA-STFT for a Robust Inter-Turn Short-Circuit Fault Diagnosis in Three-Phase Induction Motors: A Comparative Study

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-06-07

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Authors: Mouhamed Houili, Mohamed Sahraoui, António J. Marques Cardoso, Abdeldjalil Alloui

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Landing page: https://doi.org/10.3390/machines13060501

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Concepts: Induction motor, Fault (geology), Zero (linguistics), Control theory (sociology), Short circuit, Phase (matter), Voltage, Turn (biochemistry), Sequence (biology), Short-time Fourier transform, Computer science, Algorithm, Engineering, Mathematics, Artificial intelligence, Electrical engineering, Physics, Fourier transform, Genetics, Geology, Quantum mechanics, Linguistics, Biology, Seismology, Control (management), Fourier analysis, Philosophy, Mathematical analysis, Nuclear magnetic resonance

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Cited by: 3

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