A method for fault detection on synchronous generators using modified principal component analysis

W. Doorsamy, W. A. Cronje

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

An online fault detection method for synchronous generators is presented. This method provides efficient and reliable fault detection using Principal Component Analysis (PCA). The traditional PCA technique is modified to enable multivariate modelling using the machine's phase voltages, excitation current and shaft voltage. Hotelling's statistic and the model residuals are used to detect incipient faults on the machine and avoid false alarms. The presented method is tested and validated using an experimental system.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Industrial Technology, ICIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages586-591
Number of pages6
EditionJune
ISBN (Electronic)9781479978007
DOIs
Publication statusPublished - 16 Jun 2015
Externally publishedYes
Event2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
Duration: 17 Mar 201519 Mar 2015

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
NumberJune
Volume2015-June

Conference

Conference2015 IEEE International Conference on Industrial Technology, ICIT 2015
Country/TerritorySpain
CitySeville
Period17/03/1519/03/15

Keywords

  • Fault detection
  • Principal component analysis
  • Synchronous generators

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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