Diagnostics of Stator Winding Faults in a Three-Phase Asynchronous Motor Using Park’s Vector Analysis

Vestnik MEI ◽  
2021 ◽  
pp. 69-74
Author(s):  
Muhammad Deeb ◽  
◽  
Gassan Ibragim ◽  
Talal Assaf ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Short Circuit ◽  
Asynchronous Motor ◽  
Vector Model ◽  
Stator Winding ◽  
Stator Windings ◽  
Stator Current ◽  
Experimental Part ◽  
Three Phase ◽  
Short Circuit Fault

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.

scholarly journals Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal

2018 ◽  
Vol 8 (9) ◽  
pp. 1677 ◽  
Author(s):  
Hong Liang ◽  
Yong Chen ◽  
Siyuan Liang ◽  
Chengdong Wang
Keyword(s):  
Fault Detection ◽  
Wavelet Packet ◽  
Short Circuit ◽  
Permanent Magnet Synchronous Motor ◽  
Vibration Signal ◽  
Frequency Method ◽  
Time Frequency ◽  
Stator Current ◽  
Three Phase ◽  
Short Circuit Fault

The stator inter-turn short circuit fault is one of the most common and key faults in permanent magnet synchronous motor (PMSM). This paper introduces a time–frequency method for inter-turn fault detection in stator winding of PMSM using improved wavelet packet transform. Both stator current signal and vibration signal are used for the detection of short circuit faults. Two different experimental data from a three-phase PMSM were processed and analyzed by this time–frequency method in LabVIEW. The feasibility of this approach is shown by the experimental test.

Application of fuzzy data fusion theory in fault diagnosis of rotating machinery

2018 ◽  
Vol 232 (8) ◽  
pp. 1015-1024 ◽  
Author(s):  
Hamideh Jafari ◽  
Javad Poshtan ◽  
Hamed Sadeghi
Keyword(s):  
Data Fusion ◽  
Induction Motor ◽  
High Reliability ◽  
Short Circuit ◽  
Fuzzy Integral ◽  
Outer Race ◽  
Stator Windings ◽  
Three Phase ◽  
Fusion Theory ◽  
Integral Data

In this article, the most common induction motor faults including bearing outer race defect, broken rotor bar, and short-circuit of stator windings are diagnosed with high reliability. The decentralized fuzzy-integral data fusion method is used for information fusion in feature level. In the proposed scheme, the feature vectors are constructed using signatures created by time-domain characteristics obtained from stator three-phase current measurements. Partial matching of each feature is calculated by the fuzzy c-mean classifier algorithm, and features with high diagnosis ability are fused by Choquet fuzzy integral. The technique is validated experimentally on the 4 hp induction motor of an electropump, and the results are presented.

Diagnosis of Asynchronous Motor with Inter Connective Circuit in Stator Winding

2021 ◽  
Vol 64 (1) ◽  
pp. 48-53
Author(s):  
Rauf Mustafayev ◽  
◽  
Diyar Akhmedov ◽  
Aslan Akhmedov ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Short Circuit ◽  
Asynchronous Motor ◽  
Rapid Assessment ◽  
Feature Space ◽  
Technical Condition ◽  
Angular Distance ◽  
Technical Diagnostics ◽  
Stator Winding ◽  
Mathematical Methods

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.

Short Circuit between Turns in Stator Winding of Induction Machine Fault Detection and Diagnosis

2013 ◽  
Vol 416-417 ◽  
pp. 565-571 ◽  
Author(s):  
Youcef Soufi ◽  
Tahar Bahi ◽  
H. Merabet ◽  
S. Lekhchine
Keyword(s):  
Induction Motor ◽  
Low Cost ◽  
Short Circuit ◽  
Induction Machine ◽  
Fault Detection And Diagnosis ◽  
Operating Conditions ◽  
Stator Winding ◽  
Detection And Diagnosis ◽  
Abnormal Operating Conditions ◽  
Short Circuit Fault

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.

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