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

1 Citation (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 → …

Fingerprint

Power quality
Mobile phones
Support vector machines
Markup languages
transform
Mathematical transformations
disturbance
Servers
data quality
mobile phone
support vector machine
method

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
Wenda, Alex ; Hussain, A. ; Samad, S. A. ; Mohamed, R. ; Hannan, M. A. / Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines. Paper presented at IEEE Region 10 Annual International Conference, Proceedings/TENCON, .1288 p.
@conference{6badfb07d61a4c18b5890304373bd628,
title = "Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines",
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. {\circledC}2010 IEEE.",
author = "Alex Wenda and A. Hussain and Samad, {S. A.} and R. Mohamed and Hannan, {M. A.}",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/TENCON.2010.5686118",
language = "English",
pages = "1432--1437",
note = "IEEE Region 10 Annual International Conference, Proceedings/TENCON ; Conference date: 01-12-2010",

}

Wenda, A, Hussain, A, Samad, SA, Mohamed, R & Hannan, MA 2010, 'Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines' Paper presented at IEEE Region 10 Annual International Conference, Proceedings/TENCON, 01/12/10, pp. 1432-1437. https://doi.org/10.1109/TENCON.2010.5686118

Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines. / Wenda, Alex; Hussain, A.; Samad, S. A.; Mohamed, R.; Hannan, M. A.

2010. 1432-1437 Paper presented at IEEE Region 10 Annual International Conference, Proceedings/TENCON, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Web-based on mobile phone for automatic classification of power quality disturbance using the S-transform and support vector machines

AU - Wenda, Alex

AU - Hussain, A.

AU - Samad, S. A.

AU - Mohamed, R.

AU - Hannan, M. A.

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79951626170&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=79951626170&origin=inward

U2 - 10.1109/TENCON.2010.5686118

DO - 10.1109/TENCON.2010.5686118

M3 - Paper

SP - 1432

EP - 1437

ER -

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