Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach
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 an...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/1976836 |
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author | Bilal Djamel Eddine Cherif Azeddine Bendiabdellah |
author_facet | Bilal Djamel Eddine Cherif Azeddine Bendiabdellah |
author_sort | Bilal Djamel Eddine Cherif |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-4928d0c6ca04461ea7310aeafc5872ca |
institution | Kabale University |
issn | 1687-5249 1687-5257 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Control Science and Engineering |
spelling | doaj-art-4928d0c6ca04461ea7310aeafc5872ca2025-02-03T07:24:51ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/19768361976836Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN ApproachBilal Djamel Eddine Cherif0Azeddine Bendiabdellah1Diagnostic Group, Laboratory LDEE, Electrical Engineering Faculty, University of Sciences and Technology of Oran, Bir El Djir, AlgeriaDiagnostic Group, Laboratory LDEE, Electrical Engineering Faculty, University of Sciences and Technology of Oran, Bir El Djir, AlgeriaThree-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.http://dx.doi.org/10.1155/2018/1976836 |
spellingShingle | Bilal Djamel Eddine Cherif Azeddine Bendiabdellah Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach Journal of Control Science and Engineering |
title | Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach |
title_full | Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach |
title_fullStr | Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach |
title_full_unstemmed | Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach |
title_short | Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach |
title_sort | detection of two level inverter open circuit fault using a combined dwt nn approach |
url | http://dx.doi.org/10.1155/2018/1976836 |
work_keys_str_mv | AT bilaldjameleddinecherif detectionoftwolevelinverteropencircuitfaultusingacombineddwtnnapproach AT azeddinebendiabdellah detectionoftwolevelinverteropencircuitfaultusingacombineddwtnnapproach |