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

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Bilal Djamal Eddine Cherif ◽  
Azeddine Bendiabdellah

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.

2019 ◽  
Vol 63 (3) ◽  
pp. 169-177
Author(s):  
Mohamed Amine Khelif ◽  
Azeddine Bendiabdellah ◽  
Bilal Djamal Eddine Cherif

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 open-circuit 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.


2020 ◽  
Vol 20 (3) ◽  
pp. 731-742 ◽  
Author(s):  
Hyun-Keun Ku ◽  
Jun-Hyung Jung ◽  
Jin-Woo Park ◽  
Jang-Mok Kim ◽  
Yung-Dueg Son

Author(s):  
Bruno R. O. Baptista ◽  
André M.S. Mendes ◽  
Sérgio M.A. Cruz

Purpose – The purpose of this paper is to present a comparative study of the thermal behavior and efficiency of an induction motor fed by a fault-tolerant Three-Level Neutral Point Clamped (3LNPC) inverter, under normal conditions as well as after a post-fault reconfiguration, following an open-circuit fault in the inverter. For this purpose, a Matlab/Simulink model and three-phase induction motor models using a finite element method (FEM) software were developed. Besides, some experimental tests were conducted for different values of the induction motor load torque and speed reference to validate the models. Design/methodology/approach – To assess the thermal behavior and efficiency of the motor, electromagnetic and thermal models using a FEM software were developed. The coupling with the inverter drive is accomplished through a developed model in Matlab/Simulink which also includes the control system. The simulation tests were performed for a healthy and faulty inverter at different operating points of the three-phase induction motor. To validate the FEM models some experimental tests were performed. Findings – When the inverter operates in reconfigured mode the motor losses are higher and consequently temperature is higher and the motor efficiency is lower. The developed models are an alternative to a more detailed study of the motor when fed by a 3LNPC inverter and consequent optimization of the control system. Originality/value – With the developed tools, a better understanding of the motor behavior and performance is gained, allowing to forecast scenarios and optimize fault-tolerant control strategies for the drive.


2019 ◽  
Vol 63 (4) ◽  
pp. 295-305 ◽  
Author(s):  
Bilal Djamal Eddine Cherif ◽  
Azeddine Bendiabdellah ◽  
Mokhtar Bendjebbar ◽  
Amina Tamer

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.


2017 ◽  
Vol 66 (1) ◽  
pp. 89-104 ◽  
Author(s):  
Piotr Sobański ◽  
Teresa Orłowska-Kowalska

Abstract In this paper a transistor open-circuit fault diagnosis method in a rotor field oriented controlled induction motor drive, fed by a two-level voltage inverter has been proposed. The diagnostic procedure ensures detection and localization of single or multiple power switch failures in time shorter than one period of a stator current fundamental harmonic, without regard to a drive operation point. A new simple scheme of the diagnostic system is proposed. In order to validate the proposed transistor fault diagnostic method, a detailed simulation as well as experimental tests of the field-oriented control drive system were carried out and some of them are shown in this paper.


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