Experimental validation of doubly fed induction machine electrical faults diagnosis under time-varying conditions

Gritli, Y.; Stefani, Andrea; Rossi, C.; Filippetti, F.; Chatti, Abderrazak

doi:10.1016/j.epsr.2010.11.004

Cited by 56 publications

(45 citation statements)

References 22 publications

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“…These bands can't be changed unless a new acquisition with different sampling frequency is made, which complicate any fault detection based on DWT, particularly in time-varying conditions (Yasser Gritli et al, 2011). When (18) is applied at a sampling frequency of 1 kHz, a six level decomposition occurs.…”

Section: Discrete Wavelet Transform Fault Detectionmentioning

confidence: 99%

Wavelet Fault Diagnosis of Induction Motor

Gaeid¹,

Ping²

2011

MATLAB for Engineers - Applications in Control, Electrical Engineering, IT and Robotics

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Section: Discrete Wavelet Transform Fault Detectionmentioning

confidence: 99%

Wavelet Fault Diagnosis of Induction Motor

Gaeid¹,

Ping²

2011

MATLAB for Engineers - Applications in Control, Electrical Engineering, IT and Robotics

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“…On the other hand, power converters are in fact one of the most fragile parts of a WECS [5], and have the highest failure rate after pitch control [6]. While some works are reported on the fault prognosis for the pitch system [6], diagnosis of stator and rotor fault of the DFIG [7], and diagnosis for machines bearing failures [8], little work is done on the fault diagnosis and fault-tolerant operation of the converter of a WECS itself.…”

Section: Introductionmentioning

confidence: 99%

Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

Shahbazi

Saadate

Poure

et al. 2016

Electric Power Systems Research

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. (2016) 'Open-circuit switch fault tolerant wind energy conversion system based on six/ ve-leg recon gurable converter.', Electric power systems research., 137 . pp. 104-112. Further information on publisher's website: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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“…), a set of new components at frequencies given by Equation (1) appear in the stator current spectrum [39][40][41]:…”

Section: Current Signature Analysismentioning

confidence: 99%

Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train

Artigao

Koukoura

Carroll³

et al. 2018

Energies

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Abstract:The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely been analysed in the scientific literature through current signature analysis supported by vibrations. The wind turbine under study was originally misdiagnosed by the operator, where a healthy component was replaced and the actual failure continued progressing. The chronological evolution of both the electrical current and vibration spectra is presented to conduct an in-depth tracking of the fault. The diagnosis is achieved through spectral analysis of the stator currents, where fault frequency components related to rotor mechanical unbalance are identified. This is confirmed by the vibration analysis, which provides insightful information on the health of the drive train. These results can be implemented in condition monitoring strategies, which is of great interest to optimise operation and maintenance costs of wind farms.

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Experimental validation of doubly fed induction machine electrical faults diagnosis under time-varying conditions

Cited by 56 publications

References 22 publications

Wavelet Fault Diagnosis of Induction Motor

Wavelet Fault Diagnosis of Induction Motor

Open-circuit switch fault tolerant wind energy conversion system based on six/five-leg reconfigurable converter

Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train

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