A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network

• Main Authors: Khokhar, Suhail, Mohd. Zin, Abdullah Asuhaimi, Momen, Aslam Pervez, Mokhtar, Ahmad Safawi
• Format: Article
• Published: Elsevier 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/66455/; http://dx.doi.org/10.1016/j.measurement.2016.10.013

Automatic classification of Power Quality Disturbances (PQDs) is a challenging concern for both the utility and industry. In this paper, a novel technique of automatic classification of single and hybrid PQDs is proposed. The proposed algorithm consists of the Discrete Wavelet Transform (DWT) and Pr...