Evaluating windowing-based continuous S-transform with neural network classifier for detecting and classifying power quality disturbances
The aim of this paper is to evaluate the implementation of windowing-based Continuous S-Transform (CST) techniques, namely, one-cycle and half-cycle windowing with Multi-layer Perception (MLP) Neural Network classifier. Both, the techniques and classifier are used to detect and classify the Power Qu...
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| Main Authors: | , , , , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2019-03-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |