A novel technique for rotor bar failure detection in single-cage induction motor using FEM and MATLAB/SIMULINK
type: Item
instance of: scholarly article
title: A novel technique for rotor bar failure detection in single-cage induction motor using FEM and MATLAB/SIMULINK
zbMATH Open document ID: 1235.74316
DOI: 10.1155/2011/620689
author: Seyed Abbas Taher
author: Majid Malekpour
published in: Mathematical Problems in Engineering
publication date: 2012-04-03T00:00:00Z
review text: Summary: A new fault detection technique is proposed for squirrel cage induction motor (SCIM) based on detection of rotor bar failure. This type of fault detection is commonly carried out, while motor continues to work at a steady-state regime. Recently, several methods have been presented for rotor bar failure detection based on evaluation of the start-up transient current. The proposed method here is capable of fault detection immediately after bar breakage, where a three-phase SCIM is modelled in finite element method (FEM) using Maxwell2D software. Broken rotor bars are then modelled by the corresponding outer rotor impedance obtained by GA, thereby presenting an analogue model extracted from FEM to be simulated in a flexible environment such as MATLAB/SIMULINK. To improve the failure recognition, the stator current signal was analysed using discrete wavelet transform (DWT).
Mathematics Subject Classification ID: 74S05
Mathematics Subject Classification ID: 78M05
zbMATH DE Number: 6021133
zbMATH Keywords: \texttt{MATLAB/SIMULINK}
zbMATH Keywords: \texttt{Maxwell2D}
Wikidata QID: Q58693308
describes a project that uses: Matlab
describes a project that uses: Maxwell
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2011/620689
OpenAlex ID: W2078761596
cites work: The application of modern signal processing techniques for use in rotor fault detection and location within three-phase induction motors
cites work: Practical Genetic Algorithms
description: scientific article; zbMATH DE number 6021133