Transient envelope current analysis for inter-turn short-circuit detection in induction motor stator

Electrical machines are subject to faults which, depending on the type and importance of the plant, can cause material, economic and social damage. The reliability required for electric motors constantly grows due to the importance of their applications and technological advancement. One of these po...

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Bibliographic Details
Published in:Journal of the Brazilian Society of Mechanical Sciences and Engineering 2020-02, Vol.42 (2), Article 97
Main Authors: Zaparoli, Isabela Oliveira, Rabelo Baccarini, Lane Maria, Lamim Filho, Paulo Cezar Monteiro, Batista, Fabiano Bianchini
Format: Article
Language:English
Subjects:
Circuits
Coils (windings)
Damage
Electric motors
Engineering
Evolution
Fault detection
Induction motors
Mechanical Engineering
Motor stators
Plant reliability
Principal components analysis
Short circuits
Technical Paper
Transient current
Variance analysis
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Summary:Electrical machines are subject to faults which, depending on the type and importance of the plant, can cause material, economic and social damage. The reliability required for electric motors constantly grows due to the importance of their applications and technological advancement. One of these possible faults is an inter-turn short circuit of the stator winding. This is a very severe failure because its evolution to a worst fault is very fast. Thus, the initial detection of the inter-turn short circuit is of fundamental importance to avoid further damage to the motor. Steady-state analysis is not adequate when applied in some cases, such as unloaded machines, loads with oscillating torque and power with voltage fluctuations. The present work brings a new study of the transient current to analyze the beginning of inter-turn short circuits in the induction motor stator windings. The proposed methodology extracts the second component from the transient envelope of the motor starting current signals by principal component analysis. These components reflect the asymmetry caused by the initial short circuit and carry the desired fault information. By variance analysis it becomes possible to monitor the evolution of a short-circuit fault. Numerical and experimental signals are provided to validate the effectiveness of the novel technique.
ISSN:1678-5878
1806-3691
DOI:10.1007/s40430-020-2188-7