Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines

Alex Wenda, A. Hussain, S. A. Samad, R. Mohamed, M. A. Hannan

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Analyzing power quality data manually requires a lot of time and special expertise. In this paper, a new approach is shown for automatic identification power quality disturbance on mobile phone by combining the S-transform, a support vector machine (SVM), wireless markup language (WML) and the Matlab web server (MWS). The S-transform is used to generate a set of features for the SVM to classify various power quality disturbances; while the WML and MWS are used to integrate the graphical and computational process through the mobile phone. Results obtained proved the robustness and effectiveness of the proposed method. ©2010 IEEE.
Original languageEnglish
Pages1432-1437
Number of pages1288
DOIs
Publication statusPublished - 01 Dec 2010
Externally publishedYes
EventIEEE Region 10 Annual International Conference, Proceedings/TENCON -
Duration: 01 Dec 2010 → …

Conference

ConferenceIEEE Region 10 Annual International Conference, Proceedings/TENCON
Period01/12/10 → …

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All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Wenda, A., Hussain, A., Samad, S. A., Mohamed, R., & Hannan, M. A. (2010). Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines. 1432-1437. Paper presented at IEEE Region 10 Annual International Conference, Proceedings/TENCON, . https://doi.org/10.1109/TENCON.2010.5686118