Title :
An expert system based on s-transform for classification of voltage dips
Author :
Yu, Jianming ; Wang, Leilei ; Zhou, Bo ; Tian, Wenbo
Author_Institution :
Sch. of Autom. & Inf. Eng., Xi´´an Univ. of Technol., Xi´´an, China
Abstract :
In this paper an S-transform-based expert system is presented for classification of voltage dips. The S-transform (ST) technique is integrated with expert system (ES) model to construct the classifier. Firstly, ST technique is used to extract and quantify the significant features using amplitude factor, harmonic increment, number of amplitude mutation, and maximum value of phase angle shifting. Then a rule-based expert system is developed to automate the process of classifying the various types of dips. The Inference mechanism algorithms and rules of expert system are constructed, and a binary-decimal conversion classification approach is introduced for well and truly outputting the classification results. The analysis and results show that the classifier can effectively classify different voltage dips.
Keywords :
expert systems; inference mechanisms; pattern classification; power conversion; power engineering computing; transforms; S-transform based expert system; amplitude factor; amplitude mutation; binary decimal conversion classification approach; harmonic increment; inference mechanism algorithm; phase angle shifting; rule based expert system; voltage dips classification; Expert systems; Feature extraction; Harmonic analysis; Power system harmonics; Voltage fluctuations; Wavelet transforms; classification; expert system; feature extraction; power quality; s-transform; voltage dips;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010031