Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic
The monitoring and fault detection of the induction machines drives becomes more and more important. This made necessary the monitoring function condition of these machines for improved an exploitation of the industrial processing. The aim of this task is the proposal of a monitoring strategy based...
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Editura Universităţii din Oradea
2016-10-01
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doaj-6018e73ac4f94c23b6ccbff48723389c2020-11-24T20:57:07ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352067-21282016-10-01924954Monitoring of Stator windings Faults in Induction Machine Using Fuzzy LogicMERABET Hichem0DRICI Djalel1AOABDI Salim2Research Center of Industrial Technology, AlgeriaResearch Center of Industrial Technology, AlgeriaResearch Center of Industrial Technology, AlgeriaThe monitoring and fault detection of the induction machines drives becomes more and more important. This made necessary the monitoring function condition of these machines for improved an exploitation of the industrial processing. The aim of this task is the proposal of a monitoring strategy based on the fuzzy logic inference system, that informs us about the healthy function and stator fault condition, especially the open circuit and short-circuit inter-turns of the stator windings. The principle adopted for the strategy suggested is based on monitoring of the average root mean square value of stator current (RMS). Theoretical analysis, simulations results are presented to validate the effectiveness of the proposed method.http://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V9_N2_OCT_2016/09paper%200201Merabet_v9n2oct2016.pdfinduction machinemonitoringdiagnosisdetectionfuzzy logicRMS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
MERABET Hichem DRICI Djalel AOABDI Salim |
spellingShingle |
MERABET Hichem DRICI Djalel AOABDI Salim Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic Journal of Electrical and Electronics Engineering induction machine monitoring diagnosis detection fuzzy logic RMS |
author_facet |
MERABET Hichem DRICI Djalel AOABDI Salim |
author_sort |
MERABET Hichem |
title |
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic |
title_short |
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic |
title_full |
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic |
title_fullStr |
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic |
title_full_unstemmed |
Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic |
title_sort |
monitoring of stator windings faults in induction machine using fuzzy logic |
publisher |
Editura Universităţii din Oradea |
series |
Journal of Electrical and Electronics Engineering |
issn |
1844-6035 2067-2128 |
publishDate |
2016-10-01 |
description |
The monitoring and fault detection of the induction machines drives becomes more and more important. This made necessary the monitoring function condition of these machines for improved an exploitation of the industrial processing. The aim of this task is the proposal of a monitoring strategy based on the fuzzy logic inference system, that informs us about the healthy function and stator fault condition, especially the open circuit and short-circuit inter-turns of the stator windings. The principle adopted for the strategy suggested is based on monitoring of the average root mean square value of stator current (RMS). Theoretical analysis, simulations results are presented to validate the effectiveness of the proposed method. |
topic |
induction machine monitoring diagnosis detection fuzzy logic RMS |
url |
http://electroinf.uoradea.ro/images/articles/CERCETARE/Reviste/JEEE/JEEE_V9_N2_OCT_2016/09paper%200201Merabet_v9n2oct2016.pdf |
work_keys_str_mv |
AT merabethichem monitoringofstatorwindingsfaultsininductionmachineusingfuzzylogic AT dricidjalel monitoringofstatorwindingsfaultsininductionmachineusingfuzzylogic AT aoabdisalim monitoringofstatorwindingsfaultsininductionmachineusingfuzzylogic |
_version_ |
1716788785971200000 |