An accurate model of squirrel cage induction machines under rotor faults

Devanneaux, V.; Kabbaj, Hassane; Dagues, B.; Faucher, J.

doi:10.1109/icems.2001.970693

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…A large amount of research has been directed toward using the stator current spectrum to detect rotor faults associated with broken rotor bars [4][5][6][7][8][9][10][11][12][13][14][15]. The early detection of rotor cage faults is very important because in the case of a broken rotor bar, the changes in torque characteristic are usually still not noticeable without measuring devices [11][12][13][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Automatic detection and classification of rotor cage faults in squirrel cage induction motor

Arabaci

Bilgin

2009

Neural Comput & Applic

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The detection of broken rotor bars and broken end-ring in three-phase squirrel cage induction motors by means of improved decision structure. The structure consists of current signal analysis (CSA), Artificial Neural Network (ANN) and diagnosis algorithm. Effects of broken bars and end-ring on current signal and feature extraction are in the CSA. The rotor cage faults are classified by using ANN. And result matrixes of ANN are considered two different ways for diagnosis. Then the diagnoses are compared with each other. In this study six different rotor faults, which are one, two, three broken bars, bar with high resistance, broken end-ring and healthy rotor, are investigated. The effects of different rotor faults on current spectrum, in comparison with other fault conditions, are investigated by analyzing side-bands in current spectrum. To reduce bad effects of changing of distance between the side-band and main component on the detection and classification of the faults, the spectrum is achieved with low definition. Thus, the improved decision structure diagnoses faulted rotors with 100% accuracy and classified rotor faults 98.33% accuracy.

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Section: Introductionmentioning

confidence: 99%

Automatic detection and classification of rotor cage faults in squirrel cage induction motor

Arabaci

Bilgin

2009

Neural Comput & Applic

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“…This is a multi-harmonic model that also evaluates higher harmonics [1] [4][5][6][7][8]. By means of this model, typical harmonic eccentricity components can be predicted.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Among them, the threephase induction motors, especially of the squirrel cage type are frequently used because of their relative simplicity, robust construction and low price [1]. But even if induction machines are known as reliable, they can be submitted to external and internal stresses, and degradation can occur in their electrical and mechanical parts.…”

Section: Introductionmentioning

confidence: 99%

“…So, it is necessary to detect these faulty conditions and stop them growing before they can result in catastrophic failures. One of the faults that may occur in these motors is airgap eccentricity [1] [2].…”

Section: Introductionmentioning

confidence: 99%

“…The Winding Function Approach (WFA) is a useful technique for modeling an induction motor under these conditions, which accounts for all the space harmonics in the machine. Multiple coupled circuit model [1] [4][5][6][7][8] enables the dynamic modeling of induction motors with both arbitrary winding layout and/or unbalanced operating conditions. Hence, this model has found application in the analysis of asymmetrical fault conditions in machines such as rotor failures, stator winding faults, or airgap eccentricity [7] [8].…”

Section: Introductionmentioning

confidence: 99%

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Airgap eccentricity fault diagnosis, in three-phase induction motors, by the complex apparent power signature analysis

Drif

Cardoso

International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006.

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This paper introduces the use of the complex apparent power signature analysis as a tool for the diagnostics of mixed airgap eccentricity condition in operating three-phase squirrel cage induction motors. Firstly, a modelling and simulation study concerning the occurrence of airgap eccentricity in three-phase induction motors is presented. For that purpose, the Winding Function Approach is considered. Then, both simulation and experimental results are presented to illustrate the effectiveness of the proposed approach.

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