Detection of Open-Circuit Fault in a Three-Phase Voltage Inverter Fed Induction Motor

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

Bendjebbar

et al. 2019

Self Cite

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.

Section: Introductionmentioning

confidence: 99%

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

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

Bendjebbar

et al. 2019

Self Cite

“…Contrary to short-circuit faults that cause system shutdown, open switch IGBT faults do not, but induce to the degradation of its performance. Most of the diagnosis works are therefore devoted to the inverter open-circuit fault IGBT switches [9,14,15].…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, the last draws a complete circle in the case of a healthy state, and becomes a semicircle when an open-circuit IGBT fault occurs, and the circle orientation allows to localize the faulty IGBT [14]. In order to localize the faulty IGBT switch, another paper work used the mean value of the phase currents in Park's frame to extract the open-circuit fault angle of each IGBT switch [15]. This method presents unfortunately an inconvenient as it depends on the load.…”

Section: Introductionmentioning

confidence: 99%

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

Khelif

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

2019

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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.

“…The treated fault is mainly concerned with the open-circuit fault of an inverter IGBT switch [2]. Most published papers are based on Park's current vectors approach [3]. This approach is based on the trajectory tracking of the phase current vector.…”

Section: Introductionmentioning

confidence: 99%

“…The position of this semicircle in the ( -) frame makes it possible to identify the faulty IGBT switch [4]. Another paper used the mean value of the phase currents in Park's frame for the extraction of the open-circuit fault angle of each IGBT switch [1][2][3][4][5]; unfortunately this method presents an inconvenience as it depends on the load. To overcome the problem, some authors suggested the normalized DC current method which is fundamentally based on the DC component of the current and the first-order harmonic coefficients of the alternating current (AC) [6].…”

Section: Introductionmentioning

confidence: 99%

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

Journal of Control Science and Engineering

2018

Self Cite

Three-phase static converters with voltage structure are widely used in many industrial systems. In order to prevent the propagation of the fault to other components of the system and ensure continuity of service in the event of a failure of the converter, efficient and rapid methods of detection and localization must be implemented. This paper work addresses a diagnostic technique based on the discrete wavelet transform (DWT) algorithm and the approach of neural network (NN), for the detection of an inverter IGBT open-circuit switch fault. To illustrate the merits of the technique and validate the results, experimental tests are conducted using a built voltage inverter fed induction motor. The inverter is controlled by the SVM control strategy.