A fast, precise and low cost stator inter-turn fault diagnosis technique for wound rotor induction motors based on wavelet transform of rotor current

Keravand, Mehran; Faiz, Jawad; Ghasemi-Bijan, Mahmud; Bandar-Abadi, Mohsen; Cruz, Sérgio M. A.

doi:10.1109/demped.2017.8062364

Cited by 10 publications

(8 citation statements)

References 13 publications

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“…The underlying idea is to detect evolutions of faultrelated components that occur under the starting. In this context, [18][19][20][21] propose the use of discrete wavelet transforms (DWT) to detect diverse faults in WRIM. Wigner-Ville Distribution was proposed in [22] to sense the highfrequency rotor failure harmonics, while [23] presented a combination of procedures, first the Empirical Mode Decomposition (EMD) method to track the low frequency fault-related components and then the Wigner-Ville Distribution at the startup of the motor.…”

Section: Detection Of Winding Asymmetries In Wound-rotor Induction Motors Via Transient Analysis Of the External Magnetic Fieldmentioning

confidence: 99%

Detection of Winding Asymmetries in Wound-Rotor Induction Motors via Transient Analysis of the External Magnetic Field

Zamudio-Ramírez

Antonino-Daviu

Osornio-Ríos

et al. 2020

IEEE Trans. Ind. Electron.

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Over recent decades, the detection of faults in induction motors has been mainly focused in cage motors due to their extensive use. However, in recent years wound-rotor motors have received special attention because of their broad use as generators in wind turbine units as well as in some large power applications in industrial plants. Some classical approaches perform the detection of certain faults based on the FFT analysis of the steady state current (MCSA); they have been lately complemented with new transient time-frequency-based techniques to avoid false alarms. Nonetheless, there is still a need to improve the already existing methods to overcome some of their remaining drawbacks and increase the reliability of the diagnostic. In this regard, emergent technologies are being explored, such as the analysis of stray flux at the vicinity of the motor, which has been proven to be a promising option to diagnose the motor condition. Recently, this technique has been applied to detect broken rotor bar failures and misalignments in cage motors, offering the advantage of being a non-invasive tool with simple implementation and even avoiding some drawbacks of well-established tools. However, the application of these techniques to wound rotor induction motors (WRIM) has not been studied. This work explores the analysis of the external magnetic field under the starting to detect rotor winding asymmetry defects in WRIM by using advanced signal processing techniques. Moreover, a new fault indicator based on this quantity is introduced, comparing different levels of fault and demonstrating the potential of this technique to quantify and monitor rotor winding asymmetries in WRIM. Index Terms-Stray flux, time-frequency transforms, transient analysis, wound rotor induction motor.

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Section: Detection Of Winding Asymmetries In Wound-rotor Induction Motors Via Transient Analysis Of the External Magnetic Fieldmentioning

confidence: 99%

Detection of Winding Asymmetries in Wound-Rotor Induction Motors via Transient Analysis of the External Magnetic Field

Zamudio-Ramírez

Antonino-Daviu

Osornio-Ríos

et al. 2020

IEEE Trans. Ind. Electron.

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“…For the monitoring of a WRIM, even the rotor current can be measured and, therefore, in [41], a method focused on FFT and WT of the rotor current is evaluated to identify stator shorts between turns. This technique does not practically depend on the load and may quickly diagnose the fault and its seriousness.…”

Section: Stator Winding At Low Voltage (Lv)mentioning

confidence: 99%

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

Frosini

2020

Energies

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This paper aims to update the review of diagnostic techniques for rotating electrical machines of different type and size. Each of the main sections of the paper is focused on a specific component of the machine (stator and rotor windings, magnets, bearings, airgap, load and auxiliaries, stator and rotor laminated core) and divided into subsections when the characteristics of the component are different according to the type or size of the machine. The review considers both the techniques currently applied on field for the diagnostics of the electrical machines and the novel methodologies recently proposed by the researchers in the literature.

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“…Another term of comparison for the different diagnostic approaches is the signal processing technique used in their implementation. Fast Fourier Transform (FFT) [22][23][24][25], Short Time Fourier Transform (STFT) [26,27], Discrete Wavelet Transform (DWT) [4,10,11,21,26,[28][29][30][31][32][33][34], Stationary Wavelet Transform (SWT) [35][36][37][38], Dual-Tree Complex Wavelet Transform (DTCWT) [4,34], Wavelet Packet Transform (WPT) [39][40][41], Rational-dilation Wavelet Transform (RADWT) [42], Artificial Intelligence (AI) [43,44], Kalman filter [45,46] and Hilbert-Huang Transform (HHT) [47][48][49] are some of the techniques presented in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, analysing the effect of rotor faults on the proposed STTF detection criterion has been ignored [4,32,35,37,41]. According to the diagnostic approach in this article, this issue is very important, especially RTTF in WRIMs and doubly fed induction generators (DFIG), which has not been addressed in similar articles [21,28,30]. The results of the above studies are carefully presented in Table 1.…”

Section: Introductionmentioning

confidence: 99%

A secure and sensitive wavelet transform based technique for stator fault detection in the cases of line‐connected and inverter‐fed induction machines

Nazemi

Gallehdar²,

Haghjoo

et al. 2021

IET Electric Power Appl

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Here a new sensitive fault detection criterion is proposed, based on the stationary wavelet transform (SWT) decomposition components of the stator currents, for the online detection of stator winding turn-to-turn faults at an early stage of development. The energies of the desired detail components are calculated and the normalized Euclidean distance of the energy differences between the three phases is used as a new fault detection criterion. The robustness of the proposed technique against the presence of rotor turn-to-turn faults and loading variations is demonstrated. In addition, an adaptive threshold level as a function of the voltage unbalance factor is proposed to guarantee the robustness of the diagnostic technique against unbalanced voltage sources. Experimental results demonstrate the effectiveness and sensitivity of the proposed diagnostic approach for the detection of stator faults in line-connected and inverter-fed motors.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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A fast, precise and low cost stator inter-turn fault diagnosis technique for wound rotor induction motors based on wavelet transform of rotor current

Cited by 10 publications

References 13 publications

Detection of Winding Asymmetries in Wound-Rotor Induction Motors via Transient Analysis of the External Magnetic Field

Detection of Winding Asymmetries in Wound-Rotor Induction Motors via Transient Analysis of the External Magnetic Field

Novel Diagnostic Techniques for Rotating Electrical Machines—A Review

A secure and sensitive wavelet transform based technique for stator fault detection in the cases of line‐connected and inverter‐fed induction machines

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