scholarly journals Method for Identifying Stator and Rotor Faults of Induction Motors Based on Machine Vision

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lipeng Wei ◽  
Xiang Rong ◽  
Haibo Wang ◽  
Shuohang Yu ◽  
Yang Zhang
Keyword(s):  
Machine Vision ◽  
Induction Motors ◽  
Local Binary Patterns ◽  
Image Features ◽  
Identification Accuracy ◽  
Detection Methods ◽  
Automatic Identification ◽  
Rotor Faults ◽  
Three Phase ◽  
Vector Approach

The detection results need to be analyzed and distinguished by professional technicians in the fault detection methods for induction motors based on signal processing and it is difficult to realize the automatic identification of stator and rotor faults. A method for identifying stator and rotor faults of induction motors based on machine vision is proposed to solve this problem. Firstly, Park’s vector approach (PVA) is used to analyze the three-phase currents of the motor to obtain Park’s vector ring (PVR). Then, the local binary patterns (LBP) and gray level cooccurrence matrix (GLCM) are combined to extract the image features of PVR. Finally, the vectors of image features are used as input and the types of induction motor faults are identified with the help of a random forest (RF) classifier. The proposed method has achieved high identification accuracy in both the Maxwell simulation experiment and the actual motor experiment, which are 100% and 95.83%, respectively.

Sensorless Detection of Induction Motor Rotor Faults Using the Clarke Vector Approach

2011 ◽  
Vol 28 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Toomas Vaimann ◽  
Ants Kallaste ◽  
Aleksander Kilk
Keyword(s):  
Induction Motor ◽  
Condition Monitoring ◽  
Induction Motors ◽  
Diagnostic System ◽  
Cost Effective ◽  
Vast Number ◽  
Broken Rotor Bars ◽  
Rotor Faults ◽  
Effective Performance ◽  
Vector Approach

Sensorless Detection of Induction Motor Rotor Faults Using the Clarke Vector ApproachDue to their rugged build, simplicity and cost effective performance, induction motors are used in a vast number of industries, where they play a significant role in responsible operations, where faults and downtimes are either not desirable or even unthinkable. As different faults can affect the performance of the induction motors, among them broken rotor bars, it is important to have a certain condition monitoring or diagnostic system that is guarding the state of the motor. This paper deals with induction motor broken rotor bars detection, using Clarke vector approach.

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