Support vector regression based S-transform for prediction of distribution network failure

M. F. Faisal, Azah Mohamed

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

2 Citations (Scopus)

Abstract

Many of the electrical systems throughout the world are experiencing problems with aging insulation. When an insulation system fails, the results are usually catastrophic. Insulation failure can cause sustained interruption which can cause substantial financial loses due to lost production and damage to expensive equipment. These losses can amount to thousands of ringgit (RM) per hour. With the ability to predict when a possible insulation failure will occur, power utility's engineer will be able to reduce customers lost profit opportunities. In this paper a new technique to predict the occurrences of a network failure is proposed. This new technique, which comprise of the S-transform and Support Vector Regression (SVR) will analyze a set of power quality measurement data and predict the potential occurrences of possible insulation failure in the supply systems. Several studies were performed to evaluate the performance of the new technique. Overall, the results of the studies showed that the new technique is able to predict the occurrences of incipient fault with an accuracy of 100%.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
DOIs
Publication statusPublished - 2009
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore
Duration: 23 Nov 200926 Nov 2009

Other

Other2009 IEEE Region 10 Conference, TENCON 2009
CitySingapore
Period23/11/0926/11/09

Fingerprint

Electric power distribution
Insulation
Mathematical transformations
Power quality
Profitability
Aging of materials
Engineers

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Faisal, M. F., & Mohamed, A. (2009). Support vector regression based S-transform for prediction of distribution network failure. In IEEE Region 10 Annual International Conference, Proceedings/TENCON [5396257] https://doi.org/10.1109/TENCON.2009.5396257

Support vector regression based S-transform for prediction of distribution network failure. / Faisal, M. F.; Mohamed, Azah.

IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2009. 5396257.

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

Faisal, MF & Mohamed, A 2009, Support vector regression based S-transform for prediction of distribution network failure. in IEEE Region 10 Annual International Conference, Proceedings/TENCON., 5396257, 2009 IEEE Region 10 Conference, TENCON 2009, Singapore, 23/11/09. https://doi.org/10.1109/TENCON.2009.5396257
Faisal MF, Mohamed A. Support vector regression based S-transform for prediction of distribution network failure. In IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2009. 5396257 https://doi.org/10.1109/TENCON.2009.5396257
Faisal, M. F. ; Mohamed, Azah. / Support vector regression based S-transform for prediction of distribution network failure. IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2009.
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