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Broken Bar Fault Detection in IM Operating Under No-Load ConditionRELJIC, D. , JERKAN, D. , MARCETIC, D. , OROS, D.
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fault detection, current measurement, fast Fourier transform, induction motor, spectral analysis
induction(17), rotor(14), motors(12), analysis(10), diagnosis(9), industry(7), detection(7), machines(6), fault(6), energy(6)
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About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 63 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04010
Web of Science Accession Number: 000390675900010
SCOPUS ID: 85007559647
This paper presents a novel method for broken rotor bar detection in a squirrel-cage induction motor (IM). The proposed method applies a single-phase AC voltage as a test signal on motor terminals, resulting in a stator backward-rotating magnetic field. The field ultimately causes additional current components in the stator windings whose magnitudes depend on the broken bar fault severity, even if the motor is unloaded. This allows robust broken bar fault detection based only on standard motor current signature analysis (MCSA) technique. The proposed fault detection method is at first verified via simulations, using an IM model based on finite element analysis (FEA) and multiple coupled circuit approach (MCCA). The subsequent experimental investigations have shown good agreement with both theoretical predictions and simulation results.
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 WITHDRAWN: Performance assessment and transient behavioral analysis of electrical machines under fault conditions, Katta, Pradeep, Karunanithi, K., Materials Today: Proceedings, ISSN 2214-7853, 2020.
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 Investigation on Electromagnetic Performance of Induction Motor with Rotor Bar Faults considering Motor Current Signals, PARK, Y.-S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 20, 2020.
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 Health monitoring of induction motors through embedded systems-simulation of broker rotor bar fault and abnormal gear teeth fault, Gandhi, Priyanka, Turk, Dr Neelam, Dahiya, Dr Ratna, Microprocessors and Microsystems, ISSN 0141-9331, Issue , 2020.
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 Automatic Early Broken-Rotor-Bar Detection and Classification Using Otsu Segmentation, Lopez-Ramirez, Misael, Ledesma-Carrillo, Luis M., Garcia-Guevara, Francisco M., Munoz-Minjares, Jorge, Cabal-Yepez, Eduardo, Villalobos-Pina, Francisco J., IEEE Access, ISSN 2169-3536, Issue , 2020.
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 Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions, MATIC, D., KANOVIC, Z., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 17, 2017.
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 Current Park’s Vector Pattern Technique for Diagnosis of Broken Rotor Bars Fault in Saturated Induction Motor, Abdellah, Chaouch, Mama, Chouitek, Meflah Abderrahmane, Mohamed Reda, Mohammed, Belaid, Journal of Electrical Engineering & Technology, ISSN 1975-0102, 2023.
Digital Object Identifier: 10.1007/s42835-022-01342-6 [CrossRef]
 Broken Rotor Bar Fault Detection Using Advanced IM Model and Artificial Intelligence Approach, Reljic, Dejan, Jerkan, Dejan, Kanovic, Zeljko, IEEE EUROCON 2019 -18th International Conference on Smart Technologies, ISBN 978-1-5386-9301-8, 2019.
Digital Object Identifier: 10.1109/EUROCON.2019.8861767 [CrossRef]
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