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Journal ArticleDOI

Detection of stator winding faults in induction motors using three-phase current monitoring.

Rasool Sharifi, +1 more
- 01 Jan 2011 - 
- Vol. 50, Iss: 1, pp 14-20
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TLDR
Simulation results indicate that under healthy conditions, the rotor slot harmonics have the same magnitude in three phase currents, while under even 1 turn short circuit condition they differ from each other.
Abstract
The objective of this paper is to propose a new method for the detection of inter-turn short circuits in the stator windings of induction motors. In the previous reported methods, the supply voltage unbalance was the major difficulty, and this was solved mostly based on the sequence component impedance or current which are difficult to implement. Some other methods essentially are included in the offline methods. The proposed method is based on the motor current signature analysis and utilizes three phase current spectra to overcome the mentioned problem. Simulation results indicate that under healthy conditions, the rotor slot harmonics have the same magnitude in three phase currents, while under even 1 turn (0.3%) short circuit condition they differ from each other. Although the magnitude of these harmonics depends on the level of unbalanced voltage, they have the same magnitude in three phases in these conditions. Experiments performed under various load, fault, and supply voltage conditions validate the simulation results and demonstrate the effectiveness of the proposed technique. It is shown that the detection of resistive slight short circuits, without sensitivity to supply voltage unbalance is possible.

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Citations
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Journal ArticleDOI

Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model

TL;DR: A novel approach to detect and classify comprehensive fault conditions of induction motors using a hybrid fuzzy min-max (FMM) neural network and classification and regression tree (CART) is proposed.
Journal ArticleDOI

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models

TL;DR: An ensemble of hybrid intelligent models that is useful for condition monitoring of induction motors that consists of the Fuzzy Min–Max (FMM) neural network and the Random Forest model comprising an ensemble of Classification and Regression Trees is proposed.
Journal ArticleDOI

Stator fault analysis of three-phase induction motors using information measures and artificial neural networks

TL;DR: In this paper, the authors presented a pattern recognition method for the detection of stator windings short circuits based on measures of mutual information between the phase current signals in three-phase induction motors.
Journal ArticleDOI

New Expressions of Symmetrical Components of the Induction Motor Under Stator Faults

TL;DR: New expressions of symmetrical components of the stator currents of the induction motor (IM) in steady state and under different stator faults, useful to ensure an efficient fault diagnosis are proposed.
Journal ArticleDOI

An improved combination of Hilbert and Park transforms for fault detection and identification in three-phase induction motors

TL;DR: In this article, the authors proposed an improved combination of Hilbert and Park transforms to release two fault signatures: Hilbert modulus current space vector (HMCSV) and Hilbert phase current vector (HPCSV), which were subsequently analyzed using the classical fast Fourier transform (FFT).
References
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Journal ArticleDOI

Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review

TL;DR: A review paper describing different types of faults and the signatures they generate and their diagnostics' schemes will not be entirely out of place to avoid repetition of past work and gives a bird's eye view to a new researcher in this area.
Proceedings ArticleDOI

Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors

TL;DR: In this article, the authors attempt to identify the various causes of stator and rotor failures in three-phase squirrel cage induction motors, and a specific methodology is proposed to facilitate an accurate analysis of these failures.
Journal ArticleDOI

A review of stator fault monitoring techniques of induction motors

TL;DR: In this article, a comprehensive review of various stator faults, their causes, detection parameters/techniques, and latest trends in the condition monitoring technology is presented. And a broad perspective on the status of stator fault monitoring to researchers and application engineers using induction motors is provided.
Journal ArticleDOI

Transient analysis of cage induction machines under stator, rotor bar and end ring faults

TL;DR: In this article, an analysis method is developed for modeling multi-phase cage induction motors with asymmetry in the stator, arising due to an interturn fault resulting in a disconnection of one or more coils making up a portion of a stator phase winding and any distribution and number of rotor bar and end-ring failures.
Journal ArticleDOI

The detection of inter-turn short circuits in the stator windings of operating motors

TL;DR: A winding-function-based method for modeling polyphase cage induction motors with inter-turn short circuits in the machine stator winding is developed and it is shown that, as a result of the nature of the cage rotor, no new frequency components of the line current spectra can appear as a consequence of the fault.
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