NDLI: New technique for categorization of Power Quality disturbances

Content Provider	IEEE Xplore Digital Library
Author	Talaat, N. Ibrahim, W.R. Kusic, G.L.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Power & Machines, Univ. of Zagazig, Zagazig (Talaat, N.; Ibrahim, W.R.) \|\| ECE Dept., Univ. of Pittsburgh, Pittsburgh, PA (Kusic, G.L.)
Abstract	Providing effective classification techniques for various power quality (PQ) events is gaining the attention of the research community. The process of power quality analysis and diagnosis is a complex one for many reasons, including the complex modeling of power systems, the extensive amount of system data that is currently available through PQ monitors, and the lack of expert knowledge. Therefore, it is evident that computerized system analysis is vital for the realization of effective and efficient power quality diagnosis systems. In this paper two intelligent techniques are developed that perform power quality classification functions. These techniques are based on wavelet analysis, subtractive cluster algorithms and Artificial Neural Networks (ANN). Many signals are generated to simulate different types of power quality phenomena then wavelet analysis is applied to these signals. Different feature extraction methods are proposed to reduce the amount of processed data which dramatically improves the performance of the proposed PQ classifier compared to other techniques proposed elsewhere. The extracted features are then used to train different ANNs.
Starting Page	11
Ending Page	16
File Size	285232
Page Count	6
File Format	PDF
ISBN	9781424425006
DOI	10.1109/PQ.2008.4653730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-27
Publisher Place	Estonia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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