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IPQDA: A Software Tool for Intelligent Analysis of Power Quality Disturbances

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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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.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical, Electronic and Systems Engineering, National University of Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

    Aini Hussain, Azah Mohamed, Mohd Haszuan Shukairi & Noor Sabathiah Sayuti

  2. Department of Mechanical and Materials Engineering, National University of Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

    Mohd Hanif Md Saad

Authors
  1. Aini Hussain
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  2. Azah Mohamed
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  3. Mohd Hanif Md Saad
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  4. Mohd Haszuan Shukairi
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  5. Noor Sabathiah Sayuti
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Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hussain, A., Mohamed, A., Saad, M.H.M., Shukairi, M.H., Sayuti, N.S. (2005). IPQDA: A Software Tool for Intelligent Analysis of Power Quality Disturbances. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_194

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  • DOI: https://doi.org/10.1007/11589990_194

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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