scholarly journals Diagnostics of inter-turn short-circuit in the stator winding of the induction motor

Author(s):  
A I Smirnov ◽  
I N Voytyuk
2020 ◽  
Vol 5 (1) ◽  
pp. 123-133
Author(s):  
Grzegorz Tarchała ◽  
Marcin Wolkiewicz ◽  
Mateusz Krzysztofiak

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.


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8523
Author(s):  
Marcin Tomczyk ◽  
Ryszard Mielnik ◽  
Anna Plichta ◽  
Iwona Gołdasz ◽  
Maciej Sułowicz

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.


Vestnik MEI ◽  
2021 ◽  
pp. 69-74
Author(s):  
Muhammad Deeb ◽  
◽  
Gassan Ibragim ◽  
Talal Assaf ◽  
◽  
...  

The study addresses the problem of detecting a short circuit fault in the three-phase induction motor winding by monitoring the stator current Park vector (Lissajous curves). Park's vector model is implemented using the Matlab software package. The experimental part of the study was carried out on an 11 kW three-phase induction motor. The Lissajous curves obtained for a healthy motor and a motor with short-circuited turns under various load conditions were compared with each other. The obtained results have demonstrated the effectiveness of the proposed method for detecting interturn short circuit faults in the three-phase stator windings of induction motors.


Author(s):  
Rauf Mustafayev ◽  
◽  
Diyar Akhmedov ◽  
Aslan Akhmedov ◽  
◽  
...  

The problems of applying the achievement of general technical diagnostics for the recognition and assessment of the technical state of the stator winding in the process of performing functional processes by an asynchronous motor are considered. It is proposed to use the informative parameters of vibration acceleration obtained from full-scale experiments carried out in idle and load modes of an asynchronous motor for diagnosing an intertuеrn short circuit that often occurs in the stator winding. It is shown that for recognizing a malfunction of the stator winding of an induction motor, mathematical methods of technical diagnostics are effective, in particular, the method of potential functions and the method of diagnostics based on the angular distance in the feature space. The sequence of methods, rapid assessment of the technical condition of the stator winding and the determination of the interturn short circuit at the initial stages of its occurrence during the operation of the induction motor is given.


2013 ◽  
Vol 416-417 ◽  
pp. 565-571 ◽  
Author(s):  
Youcef Soufi ◽  
Tahar Bahi ◽  
H. Merabet ◽  
S. Lekhchine

The induction motor is one of the most used electric machines in variable speed system in the different field of industry due to its robustness, mechanical strength and low cost. Despite these qualities, the induction machine is subjected during its operation to a number of constraints of various natures (electrical, mechanical and environmental). This paper focuses on the diagnosis and the detection of the short circuit fault between turns in the stator winding of an induction machine, based on analyzing the evolution of the stator current in each stator phase, using tools based both on motor current spectral analysis and Park vector approach. A study by simulation was presented. The obtained results show that the considered methods can effectively diagnose and detect abnormal operating conditions in induction motor applications. Therefore, they clearly show the possibility of extracting signatures and the application of these techniques offered reliable and satisfactory results for the diagnosis and detection of such fault.


Sign in / Sign up

Export Citation Format

Share Document