Automatic classification of single and hybrid power quality disturbances using Wavelet Transform and Modular Probabilistic Neural Network

• Main Authors: Khokhar, S., Mohd. Zin, A. A., Mokhtar, A. S., Bhayo, M. A., Naderipour, A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/73415/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964345645&doi=10.1109%2fCENCON.2015.7409588&partnerID=40&md5=425fedc47256eac67d499a68e860dfd9

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...