The influence of the broken bar fault on the magnetic field and electromagnetic torque in 3-phase induction motors

Spyropoulos, Dionysios V.; Gyftakis, Konstantinos N.; Kappatou, J. C.; Mitronikas, Epaminondas D.

doi:10.1109/icelmach.2012.6350136

Cited by 15 publications

(7 citation statements)

References 20 publications

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“…[25] studies the influence of the broken bar fault on the harmonic content of the magnetic flux density and on the electromagnetic torque spectrum, concluding that the study of this latter spectrum is useful at frequencies near 300 Hz. On the other hand, [26] performs an interesting analysis of how different air-gap waves, such as flux density and mechanical stresses, are affected by the cage fault by presenting a two-dimensional spectral analysis based on both quantities.…”

Section: ) Digital Signal Analysis Techniques Applied To Rotormentioning

confidence: 99%

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Riera-Guasp

Antonino-Daviu

Capolino

2015

IEEE Trans. Ind. Electron.

487

234

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Section: ) Digital Signal Analysis Techniques Applied To Rotormentioning

confidence: 99%

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Riera-Guasp

Antonino-Daviu

Capolino

2015

IEEE Trans. Ind. Electron.

487

234

View full text Add to dashboard Cite

“…This flux, produced by the stator currents has the same harmonics which allows identifying faults. A coil located at the end of a machine concentrically to its axis, allows measuring AF and from it, to diagnose faults [2], [6], [9], [11]- [13], [18], [24], [27], [36], [38], [48], [49],. Thus, analyzing the AF´s frequency spectrum, short circuits on the stator windings, eccentricities and rotor broken bars can be detected.…”

Section: Axial Leakage Flux: (Af)mentioning

confidence: 99%

“…Harmonic analysis to total power consumed, partial power or electric torque, can be applied by this method allowing detection of failures that most frequently occur in IM´s [2], [6], [9], [12], [13], [26], [27], [49], [50].…”

Section: Torque Harmonic and Power Analysis (Tha)mentioning

confidence: 99%

A review on location, detection and fault diagnosis in induction machines

Hurtado¹,

Tello²,

Sarduy³

2015

JESTR

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In this work a careful review describing different types of failures in electrical machines, their characteristic signals generated and diagnosis methods is performed. Additionally, a comparison of the advantages between the known failure detection methods based on the information required for diagnosis, the occurrence and importance of failures detection, the effectiveness for anticipating a malfunction or failure and the final diagnosis accuracy is also made. Particularly, this review will help to provide a straightforward up date about the most recent work and research in this field.

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“…The lack of this early fault detection may cause damage spread and motor destruction [37,38]. The existence of broken bars in an electric machine, which is the main reason for rotor asymmetry and motor magnetic field changes [6], is evidenced by the appearance of two frequency components located close to the motor operating frequency [15,20,39].…”

Section: Introductionmentioning

confidence: 99%

Broken Bar Diagnosis for Squirrel Cage Induction Motors Using Frequency Analysis Based on MCSA and Continuous Wavelet Transform

Granda

Aguilar

Arcos-Avilés

et al. 2017

MCA

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Abstract:The importance of early fault detection in electric motors has attracted the attention of research groups, as the detection of incipient faults can prevent damage spreading and increase the lifetime of the motor. At present, studies have focused their attention on optimization procedures used for fault detection in induction machines to achieve a quick and easy-to-interpret assessment at an industrial level. This paper proposes an alternative approach based on the Continuous Wavelet Transform (CWT) for broken bar diagnosis in squirrel cage induction motors. This work uses the Motor Current Signature Analysis (MCSA) method to acquire the current signal of the induction motor. The novelty of this study lies in broken bar detection in electric machines operating at non-load by analyzing variations in the spectrum of the motor's current signal. This way, the faults are presented as oscillations in the current signal spectrum. Additionally, a quantification of broken bars for the same type of motors operating at full-load is performed in this study. An experimental validation and the comparison with the Fast Fourier Transform (FFT) technique are provided to validate the proposed technique.

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The influence of the broken bar fault on the magnetic field and electromagnetic torque in 3-phase induction motors

Cited by 15 publications

References 20 publications

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

Advances in Electrical Machine, Power Electronic, and Drive Condition Monitoring and Fault Detection: State of the Art

A review on location, detection and fault diagnosis in induction machines

Broken Bar Diagnosis for Squirrel Cage Induction Motors Using Frequency Analysis Based on MCSA and Continuous Wavelet Transform

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