Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach
Joint Authors
Cherif, Bilal Djamal Eddine
Bendiabdellah, Azeddine
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Cherif, Bilal Djamal Eddine& Bendiabdellah, Azeddine. 2018. Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1182902
Modern Language Association (MLA)
Cherif, Bilal Djamal Eddine& Bendiabdellah, Azeddine. Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach. Journal of Control Science and Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1182902
American Medical Association (AMA)
Cherif, Bilal Djamal Eddine& Bendiabdellah, Azeddine. Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1182902
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182902