IPQDA

A software tool for Intelligent Analysis of Power Quality Disturbances

Aini Hussain, Azah Mohamed, Mohamad Hanif Md Saad, Mohd Haszuan Shukairi, Noor Sabathiah Sayuti

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

4 Citations (Scopus)

Abstract

This paper presents the Intelligent Power Quality Disturbance Analysis (IPQDA) software tool that is designed for an automatic analysis of power quality (PQ) disturbance. The main capabilities of the software include analysis of disturbance waveforms, identification of a particular type of disturbance and notification of a disturbance. Another important feature of the program is that it can automatically send email or short messaging notifications upon identification of a disturbance to alert the system operator of a disturbance.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages1315-1318
Number of pages4
Volume3809 LNAI
DOIs
Publication statusPublished - 2005
Event18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence - Sydney
Duration: 5 Dec 20059 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3809 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
CitySydney
Period5/12/059/12/05

Fingerprint

Power Quality
Power quality
Software Tools
Software
Disturbance
Electronic mail
Electronic Mail
Waveform
Operator

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Hussain, A., Mohamed, A., Md Saad, M. H., Shukairi, M. H., & Sayuti, N. S. (2005). IPQDA: A software tool for Intelligent Analysis of Power Quality Disturbances. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3809 LNAI, pp. 1315-1318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3809 LNAI). https://doi.org/10.1007/11589990_194

IPQDA : A software tool for Intelligent Analysis of Power Quality Disturbances. / Hussain, Aini; Mohamed, Azah; Md Saad, Mohamad Hanif; Shukairi, Mohd Haszuan; Sayuti, Noor Sabathiah.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3809 LNAI 2005. p. 1315-1318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3809 LNAI).

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

Hussain, A, Mohamed, A, Md Saad, MH, Shukairi, MH & Sayuti, NS 2005, IPQDA: A software tool for Intelligent Analysis of Power Quality Disturbances. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3809 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3809 LNAI, pp. 1315-1318, 18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence, Sydney, 5/12/05. https://doi.org/10.1007/11589990_194
Hussain A, Mohamed A, Md Saad MH, Shukairi MH, Sayuti NS. IPQDA: A software tool for Intelligent Analysis of Power Quality Disturbances. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3809 LNAI. 2005. p. 1315-1318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11589990_194
Hussain, Aini ; Mohamed, Azah ; Md Saad, Mohamad Hanif ; Shukairi, Mohd Haszuan ; Sayuti, Noor Sabathiah. / IPQDA : A software tool for Intelligent Analysis of Power Quality Disturbances. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3809 LNAI 2005. pp. 1315-1318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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