Characterization of Power Quality Disturbances and Their Efficient Classification
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-5262-5_75
Reference16 articles.
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2. Biswal, M., Dash, P.K.: Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier. Digit. Signal Process. 23(4), 1071–1083 (2013)
3. Dehghani, H., Vahidi, B., Naghizadeh, R.A., Hosseinian, S.H.: Power quality disturbance classification using a statistical and wavelet-based hidden Markov model with Dempster-Shafer algorithm. Int. J. Electr. Power Energy Syst. 47, 368–377 (2013)
4. Erişti, H., Yıldırım, Ö., Erişti, B., Demir, Y.: Automatic recognition system of underlying causes of power quality disturbances based on S-transform and Extreme Learning Machine. Int. J. Electr. Power Energy Syst. 61, 553–562 (2014)
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1. Comparison of Classifiers for the Recognition of 3-Phase Power Quality Disturbance Events;Lecture Notes in Networks and Systems;2022
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