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An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure Cover

An Artificial Neural Networks Approach to Stator Current Sensor Faults Detection for DTC-SVM Structure

Power Electronics and Drives
Volume 1 (2016): Issue 1 (June 2016)
By:   
Open Access
|Oct 2017
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DOI: https://doi.org/10.5277/ped160110 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 127 - 138
Submitted on: May 4, 2016
Accepted on: Jun 25, 2016
Published on: Oct 27, 2017
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
DTC-SVM,
current sensor,
induction motor,
detector,
fault tolerant drive,
neural network
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2017 Kamil Klimkowski, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 1 (2016): Issue 1 (June 2016)
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