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Journals / Turkish Journal of Electrical Engineering and Computer Science / 2015 / Cilt: 23 - Sayı: 5

Detection of stator winding fault in induction motor using instantaneous power signature analysis

AHMET KÜÇÜKER
MEHMET BAYRAK
Pages
1263–1271
Publication Date
2015-08-13
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Stator interturn faults are one of the most common faults occurring in induction motors.
📊
Key Findings & Data:Early detection of interturn short circuit is important to reduce repair costs.
💡
Conclusion & Impact:In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Fault detection · instantaneous power signature analysis · stator winding faults

Abstract

Stator interturn faults are one of the most common faults occurring in induction motors. Early detection of interturn short circuit is important to reduce repair costs. Axial leakage monitoring, zero-sequence components, negative sequence current, and motor current signature analysis have been used for fault detection in early states. In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.

Özet

Stator interturn faults are one of the most common faults occurring in induction motors. Early detection of interturn short circuit is important to reduce repair costs. Axial leakage monitoring, zero-sequence components, negative sequence current, and motor current signature analysis have been used for fault detection in early states. In the paper, the instantaneous power signature analysis technique is used to detect these faults, and experimental results for healthy and faulty motors are shown and discussed.

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Cite This Article

KÜÇÜKER, A., BAYRAK, M. (2015). Detection of stator winding fault in induction motor using instantaneous power signature analysis. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 23 - Sayı: 5, 1263–1271. https://ajindex.com/articles/187498

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References (9)

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