Automatic classification of single and hybrid power quality disturbances using Wavelet Transform and Modular Probabilistic Neural Network
Power Quality (PQ) monitoring in a systematic and automated way is the important issue to prevent detrimental effects on power system. The development of new methods for the automatic classification of PQ disturbances is at present a major concern. This paper presents a novel approach of automatic d...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/73415/ http://eprints.utm.my/73415/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|