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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Bibliographic Details
Published in:Journal of control science and engineering 2018-01, Vol.2018 (2018), p.1-11
Main Authors: Cherif, Bilal Djamal Eddine, Bendiabdellah, Azeddine
Format: Article
Language:English
Subjects:
Algorithms
Automation
Converters
Diagnostic systems
Discrete Wavelet Transform
Electric potential
Entropy
Fault diagnosis
Induction motors
International conferences
Methods
Neural networks
Researchers
Signal processing
Wavelet transforms
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Summary: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.
ISSN:1687-5249
1687-5257
DOI:10.1155/2018/1976836