Application of computational intelligence for diagnosing power quality disturbances

Mohamed Fuad Faisal, Azah Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the application of signal processing and artificial intelligence techniques for performing automated power quality (PQ) diagnosis. This new diagnosis system is named as the Power Quality Diagnostic System or PQDS. The PQDS is developed using the S-Transform (ST) and the Support Vector Regression (SVR) techniques. The PQDS has been successfully implemented in Malaysia and has assisted the power utility's engineers in verifying the types, sources and causes of the recorded PQ disturbances by the online power quality monitoring system (PQMS). The PQDS gave perfect (100%) accuracy in diagnosing voltage sags.

Original languageEnglish
Title of host publicationcccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings
Pages29-32
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Singapore
Duration: 21 May 201224 May 2012

Other

Other2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012
CitySingapore
Period21/5/1224/5/12

Fingerprint

Power quality
Artificial intelligence
Signal processing
Mathematical transformations
Engineers
Monitoring
Electric potential

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Faisal, M. F., & Mohamed, A. (2012). Application of computational intelligence for diagnosing power quality disturbances. In cccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings (pp. 29-32). [6237889] https://doi.org/10.1109/APEMC.2012.6237889

Application of computational intelligence for diagnosing power quality disturbances. / Faisal, Mohamed Fuad; Mohamed, Azah.

cccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings. 2012. p. 29-32 6237889.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Faisal, MF & Mohamed, A 2012, Application of computational intelligence for diagnosing power quality disturbances. in cccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings., 6237889, pp. 29-32, 2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012, Singapore, 21/5/12. https://doi.org/10.1109/APEMC.2012.6237889
Faisal MF, Mohamed A. Application of computational intelligence for diagnosing power quality disturbances. In cccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings. 2012. p. 29-32. 6237889 https://doi.org/10.1109/APEMC.2012.6237889
Faisal, Mohamed Fuad ; Mohamed, Azah. / Application of computational intelligence for diagnosing power quality disturbances. cccc2012 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2012 - Proceedings. 2012. pp. 29-32
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