Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach

The paper investigates the detection and location of IGBT open-circuit faults in two-level inverter fed induction motor controlled by indirect vector control strategy. The investigation proposes two new approaches entirely based on the Artificial Neural Network (ANN) for the extraction of the exact fault angle corresponding to the IGBT switch open-circuit fault. The first approach (Approach1) based on the Clark currents transform calculates the average value of the Clark currents to find the exact fault angle θ. The second approach (Approach2) based directly on the three-phase stator currents (without any transformation) calculates the average value of the three-phase currents to determine the exact fault angle between the phases (θab, θbc, θca). The paper conducts also a comparative study between the two approaches to assess the merits of each one of them. Experimental work is conducted to illustrate the effectiveness of the techniques and validate the results obtained.

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“…The whole set is connected to a computer for visualizing the processed sensed signal as shown in the photo of Fig. 1 [14].…”

Section: Experimental Setup Descriptionsmentioning

confidence: 99%

Neural Network Based Fault Diagnosis of Three Phase Inverter Fed Vector Control Induction Motor

Chérif

Bendiabdellah

Bendjebbar

et al. 2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Another paper presents the analysis of an inverter switching faults using the Short Time Fourier Transform (STFT) [18]. To overcome false diagnosis alarms and increasing the robustness under wide range load condition, fuzzy logic or neural network based approaches can be applied [19,20]. Some authors use fuzzy logic technique associated with the Park vectors for the diagnosis of faults in an inverter fed induction motor [20].…”

Section: Introductionmentioning

confidence: 99%

“…Some authors use fuzzy logic technique associated with the Park vectors for the diagnosis of faults in an inverter fed induction motor [20]. Another work presents a discrete wavelet transform (DWT) diagnostic technique associated with neural network (NN) algorithm [19]. It is to be noted that the time detection of the open-circuit IGBT fault is over a fundamental current period [8].…”

Section: Introductionmentioning

confidence: 99%

“…Sci., 63(3), pp. 169-177, 2019 Description of the detection and localization technique of a faulty inverter Inspired by the idea found in the approach of reference[19], this paper work consists of developing an IGBT open-circuit fault detection and localization technique based on the monitoring of the RMS and the calculation of the mean value of the currents of a two-stage three-phase voltage inverter. The RMS value is the most commonly used term in the educational and industrial communities.…”

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confidence: 99%

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A Combined RMS-MEAN Value Approach for an Inverter Open-Circuit Fault Detection

Khelif

Bendiabdellah

Chérif

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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Currently, with the power electronics evolution, a major research axis is oriented towards the diagnosis of converters supplying induction machines. Indeed, a converter such as the inverter is susceptible to have structural failures such as faulty leg and/or opencircuit IGBT faults. In this paper, the detection of the faulty leg and the localization of the open-circuit switch of an inverter are investigated. The fault detection technique used in this work is based essentially upon the monitoring of the root mean square (RMS) value and the calculation of the mean value of the three-phase currents. In the first part of the paper work, the faulty leg is detected by monitoring the RMS value of the three-phase currents and comparing them to the nominal value of the phase current. The second part, the open-circuit IGBT fault is localized simply by knowing the polarity of the calculated mean value current of the faulty phase.The work is first accomplished using simulation work and then the obtained simulation results are validated by experimental work conducted in our LDEE laboratory to illustrate the effectiveness, simplicity and rapidity of the proposed technique.

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“…In the paper presented by [13], the same authors proposed another extension based on the use of fuzzy logic symptoms. The author [14] proposes the Clarke technique followed by the polarity of the trajectory slope in the complex α-β frame identify the faulty IGBT switch.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Some Fault Diagnosis Techniques in Three-Phase Inverter Fed Induction Motors

Chérif¹,

Bendiabdellah²,

MokhtarBendjebbar³

et al. 2018

Fault Detection and Diagnosis

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The growing importance of power conversion systems and their dependency on the performance and reliability of static converters has motivated extensive research efforts in this field. A variety of different techniques have been applied to detect open-circuit faults in power converters. The present chapter is focusing on the techniques of detection and localization of open-circuit faults in a three phase voltage source inverter fed induction motor. A comparative study is carried out between different detection techniques: the Park current vectors and its enhancement by using the polar coordinates, the mean value of the currents, the stator current spectrum analysis and the measurement of the current drop. The aim of this comparison is to investigate the relative strengths and weaknesses of the different techniques and evaluate the performance of each detection technique studied. The comparison study focuses on the time detection, the localization ability and the hardware aspect. To validate these techniques, an experimental setup is developed in our diagnostic group laboratory which consists of a two-level voltage source inverter controlled by a DSPACE-1104, Card to generate the PWM vector control of the induction motor. The obtained simulation and experimental results illustrate well the detection feasibility of each technique as well as the benefits and merits of the performed comparative study.

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Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach

Cited by 29 publications

References 12 publications

Neural Network Based Fault Diagnosis of Three Phase Inverter Fed Vector Control Induction Motor

Neural Network Based Fault Diagnosis of Three Phase Inverter Fed Vector Control Induction Motor

A Combined RMS-MEAN Value Approach for an Inverter Open-Circuit Fault Detection

A Comparative Study on Some Fault Diagnosis Techniques in Three-Phase Inverter Fed Induction Motors

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