Volterra bound interval type‐2 fuzzy logic‐based approach for multiple power quality events analysis
Author:
Affiliation:
1. Department of Electronics & CommunicationDelhi Technological UniversityBawana RoadDelhiIndia
2. Department of Electrical EngineeringDelhi Technological UniversityBawana RoadDelhiIndia
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-est.2017.0054
Reference26 articles.
1. Classification of power quality events – a review;Kapoor R.;Int. J. Electr. Power Energy Syst.,2012
2. Automatic classification of power quality events and disturbances using wavelet transform and support vector machines;Eristi H.;IET Gener. Trans. Distrib.,2012
3. Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs
4. Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
5. A Classification Method for Complex Power Quality Disturbances Using EEMD and Rank Wavelet SVM
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