Diagnosis of Short-Circuit Faults in Stator Winding Inside Low-Voltage Induction Motor Using Impulse Voltage Test

2015 ◽  
Vol 191 (3) ◽  
pp. 32-39
Author(s):  
Hisahide Nakamura
Keyword(s):  
Induction Motor ◽  
Low Voltage ◽  
Short Circuit ◽  
Stator Winding ◽  
Impulse Voltage

scholarly journals Diagnosis of Short-circuits in Induction Motor Stator Winding Using a Modified Park Transformation

2020 ◽  
Vol 5 (1) ◽  
pp. 123-133
Author(s):  
Grzegorz Tarchała ◽  
Marcin Wolkiewicz ◽  
Mateusz Krzysztofiak
Keyword(s):  
Induction Motor ◽  
Diagnostic Method ◽  
Short Circuit ◽  
Motor Drives ◽  
Stator Winding ◽  
Induction Motor Drives ◽  
On Line ◽  
Short Circuits ◽  
Park Transformation ◽  
Fft Analysis

AbstractThis paper deals with a novel diagnostic method for finding the stator winding short-circuit damage of induction motor drives. The proposed method is based on a new, simple idea of applying a modified, triple Park transform instead of using a computationally demanding on-line Fast Fourier Transform (FFT) analysis. The diagnostic method is based on the analysis of current and reference voltage vector components, which are the part of the Direct Field Oriented Control structure. The proposed method is verified experimentally using tests results. Further, the influence of speed, load torque and the parameters of PI regulators on the performance of the proposed diagnostic method are also discussed.

scholarly journals Application of Genetic Algorithm for Inter-Turn Short Circuit Detection in Stator Winding of Induction Motor

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8523
Author(s):  
Marcin Tomczyk ◽  
Ryszard Mielnik ◽  
Anna Plichta ◽  
Iwona Gołdasz ◽  
Maciej Sułowicz
Keyword(s):  
Genetic Algorithm ◽  
Induction Motor ◽  
Diagnostic Method ◽  
Induction Motors ◽  
Short Circuit ◽  
Experimental Tests ◽  
Stator Winding ◽  
Short Circuits ◽  
Cage Induction Motor ◽  
Industry Conditions

This paper presents a new method of inter-turn short-circuit detection in cage induction motors. The method is based on experimental data recorded during load changes. Measured signals were analyzed using a genetic algorithm. This algorithm was next used in the diagnostics procedure. The correctness of fault detection was verified during experimental tests for various configurations of inter-turn short-circuits. The tests were run for several relevant diagnostic signals that contain symptoms of faults in an examined cage induction motor. The proposed algorithm of inter-turn short-circuit detection for various levels of winding damage and for various loads of the examined motor allows one to state the usefulness of this diagnostic method in normal industry conditions of motor exploitation.

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