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Azeddine Bendiabdellah
University of Science and Technology of Oran MB
Computer Science & IT Electrical & Electronics Engineering

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Short-circuit fault diagnosis of the DC-Link capacitor and its impact on an electrical drive system Amine Mohamed Khelif; Azeddine Bendiabdellah; Bilal Djamal Eddine Cherif
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.743 KB) | DOI: 10.11591/ijece.v10i3.pp2807-2814

Abstract

The reliability of a motor control based on a variable speed drive is an important issue for industrial applications. Most of these machines are inverter based induction motors and are used in specific and complex industrial installations. Unlike the induction motor, the feeding part is very delicate and sensitive to faults. In order to improve system performance, it is therefore very important for a researcher to know the impact of a fault on the whole of his drive system. This paper discusses the short-circuit fault of the DC-link capacitor of an inverter fed induction motor. The simulation results of this type of faults are presented and its impact on the behavior of the rectifier, the inverter as well as the induction motor analyzed and interpreted.
A combined variable reluctance network-finite element VR machine modeling for stator inter-turn short-circuit diagnosis Rabeh Chehda; Noureddine Benouzza; Azeddine Bendiabdellah; Naouel Kada Belghitri
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.587 KB) | DOI: 10.11591/ijece.v10i1.pp105-116

Abstract

The work presented in this paper, proposes a comparison study between the network variable reluctance (NVR) model and the finite elements (FE) model intended for the diagnosis of stator inter-turn short-circuit (ITSC) of the variable reluctance machine (VRM). In the first place, the model of the VRM by the NRV is presented. To validate this model, the FE model of the VRM has been then studied. The detection of the ITSC is achieved by the use of the stator current spectral analysis technique. The simulation results obtained, illustrate well the interest and efficiency of the proposed model as well as of the merits of the stator current spectral analysis technique for the stator ITSC fault diagnosis of the VRM.
Co-Authors Amine Mohamed Khelif Bilal Djamal Eddine Cherif Naouel Kada Belghitri Noureddine Benouzza Rabeh Chehda