Nondestructive Tests for Induction Machine Faults Diagnosis

In this paper, a new method for doubly-fed induction machine electrical faults diagnosis is presented. It is based on the so-called the Lissajous curve of an auxiliary winding voltage Park components. For this purpose, time domain mathematical model of a three phase doubly-fed induction machine and expressions of the inserted winding voltage and its Park components are presented. Simulation results curried out for non defected and defected machine show the effectiveness of the proposed method.

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Experimental validation of doubly fed induction machine electrical faults diagnosis under time-varying conditions

Electric Power Systems Research ◽

10.1016/j.epsr.2010.11.004 ◽

2011 ◽

Vol 81 (3) ◽

pp. 751-766 ◽

Cited By ~ 38

Author(s):

Yasser Gritli ◽

Andrea Stefani ◽

Claudio Rossi ◽

Fiorenzo Filippetti ◽

Abderrazak Chatti

Keyword(s):

Experimental Validation ◽

Induction Machine ◽

Time Varying ◽

Doubly Fed Induction Machine ◽

Faults Diagnosis ◽

Electrical Faults ◽

Doubly Fed

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Induction machine faults diagnosis by statistical neural networks with selection variables based on Principal component analysis

2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) ◽

10.1109/sta.2017.8314887 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sameh Marmouch ◽

Tarek Aroui ◽

Yassine Koubaa

Keyword(s):

Neural Networks ◽

Principal Component Analysis ◽

Induction Machine ◽

Principal Component ◽

Component Analysis ◽

Faults Diagnosis ◽

Statistical Neural Networks

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Numerical Investigation on Faults Diagnosis for AC Induction Machine by Magnetic Flux Distribution

Studies in Applied Electromagnetics and Mechanics - Electromagnetic Non-Destructive Evaluation (XXIII) ◽

10.3233/saem200016 ◽

2020 ◽

Author(s):

Linfeng Li ◽

Yating Yu ◽

Qin Hong ◽

Zhenwei Wang

Keyword(s):

Magnetic Flux ◽

Flux Distribution ◽

Induction Machine ◽

Induction Machines ◽

Health Condition ◽

Normal Operation ◽

Servo Drive ◽

Squirrel Cage ◽

Faults Diagnosis ◽

Ac Induction Motor

AC induction machines are widely used in electric servo drive, information processing, transportation and other fields. However, the unexpected faults cause the serious threat for the normal operation and operator’s safety. Therefore, timely faults diagnosis is an effective way to ensure the AC induction machines to work in health condition. In AC induction machines, magnetic field is the basis of energy conversion of motor, and the faults have the directly influence on the electromagnetic field distribution. In this paper, 2D numerical model of the AC squirrel-cage asynchronous induction machine is built by using COMSOL Multiphysics according to finite element method; Then, the magnetic flux distribution of AC induction motor with three different faults which commonly occurs in engineering are simulated. Base on the numerical simulation, the influence of the different faults on the magnetic distribution is discussed in detail. The investigation is beneficial to find a nondestructive fault diagnosis approach to the induction machine.

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