The Zero-Sequence Current as a Generalized Diagnostic Mean in Δ-Connected Three-Phase Induction Motors

Gyftakis, Konstantinos N.; Kappatou, J. C.

doi:10.1109/tec.2013.2292505

Cited by 66 publications

(44 citation statements)

References 31 publications

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“…Secondly, the amplitude of fundamental component of the zero sequence components, which is extracted as fault indicator, is easily affected by the rotor speed of the PMSM. Finally, well known tools like fast Fourier transform [25], [26], order tracking filtering [27], empirical mode decomposition [24], [28], wavelet transform [20], [29] and Wigner-Ville Distribution [30] are applied to extract fault indicator. Nevertheless, these tools may be not suitable for online application.…”

mentioning

confidence: 99%

Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

Hang

Zhang

Cheng

et al. 2015

IEEE Trans. Power Electron.

154

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This paper develops an online inter-turn fault diagnosis method for permanent magnet synchronous machine (PMSM). The mathematical model of the PMSM with inter-turn fault is established. The zero sequence voltage component and zero sequence current component are analyzed in the PMSM, respectively. Then the new fault indicators are defined to remove the influence of the variation of the rotor speed and an effective frequency tracking algorithm is presented to extract fault indicators. In this proposed method, not only the inter-turn fault can be effectively detected, but also the phase in which this fault occurs can be accurately identified. The experiments are carried out and the experiment results verify the effectiveness of the proposed method.Index Terms-Fault diagnosis, frequency tracking, permanent magnet machine, zero sequence component.

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confidence: 99%

Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

Hang

Zhang

Cheng

et al. 2015

IEEE Trans. Power Electron.

154

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“…Due to the stator magnetomotive forces (MMF) higher harmonic index, as well as the iron core saturation level, the fundamental harmonic of the ZSC is given by the following formula [30]:…”

Section: A the Zero-sequence Current In Induction Motors With Brokenmentioning

confidence: 99%

“…Moreover, it reveals other faults like the static eccentricity in the principal slot harmonic (PSH) of induction motors, which is not possible to observe with the analysis of a single-phase current [29]. Finally, it offers a generalized diagnosis potential as it has been shown in [30].…”

Section: Introductionmentioning

confidence: 99%

Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Moriñigo-Sotelo

Romero‐Troncoso

Antonino-Daviu

et al. 2016

2016 XXII International Conference on Electrical Machines (ICEM)

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“…Moreover, different signal processing methods can be found including FFTs [32], time frequency tools [21], [33]- [34], MUSIC [35] etc. It was shown recently [36], with the help of FEM, that the Zero-Sequence Current (ZSC) spectrum can be used for the detection and identification of a variety of induction motor faults, including broken rotor bar faults. It was also shown in [37] that the ZSC is less sensitive to the rotor slot number compared to other diagnostic means.…”

Section: Introductionmentioning

confidence: 99%

Comparative experimental investigation of broken bar fault detectability in induction motors

Gyftakis

Antonino-Daviu

Garcia-Hernandez

et al. 2015

2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

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This article has been accepted for publication in IEEE Transactions on Industry Applications. "© © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. Abstract -It has been shown in the past that the zerosequence current spectrum can be reliably used to detect broken bar faults in induction motors. Previous work was carried out with extensive FEM analysis. Although it allows detailed study of spatial and time-dependent electromagnetic characteristics of induction motors, FEM is a heavily timeconsuming tool and this limits full study. So, in this work, extensive experimental testing has been performed to validate the zero sequence current spectrum for detecting rotor asymmetries. Three identical induction motors have been used: one healthy, one with a broken rotor bar, and one with two broken rotor bars. The motors were tested under different voltage supply levels and with different mechanical loads. The zero-sequence current spectrum was calculated after measuring the three phase currents. It is for the first time experimentally shown that this approach offers greater diagnostic potential than traditional MCSA. CURVE is the Institutional Repository for Coventry University

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The Zero-Sequence Current as a Generalized Diagnostic Mean in Δ-Connected Three-Phase Induction Motors

Cited by 66 publications

References 31 publications

Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

Online Interturn Fault Diagnosis of Permanent Magnet Synchronous Machine Using Zero-Sequence Components

Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Comparative experimental investigation of broken bar fault detectability in induction motors

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