Automatic signal segmentation based on abrupt change detection for power systems applications

Abhisek Ukil, Rastko Živanović

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

8 Citations (Scopus)


Detection of abrupt changes in the signal parameters can be used to segment the signal. This has been particularly useful in automatic disturbance recognition in power systems, where the signals are first segmented event-specifically and processed subsequently to recognize and analyze the disturbances. This paper describes several abrupt change detection-based segmentation algorithms and their applications in the power systems. The applications include automatic disturbance recognition, synchronization, relay performance analysis etc, where recorded signals from the power network in South Africa have been used.

Original languageEnglish
Title of host publication2006 IEEE Power India Conference
Number of pages8
Publication statusPublished - 2005
Externally publishedYes
Event2006 IEEE Power India Conference - New Delhi, India
Duration: 10 Apr 200612 Apr 2006

Publication series

Name2006 IEEE Power India Conference


Conference2006 IEEE Power India Conference
CityNew Delhi


  • Abrupt change detection
  • Automatic signal segmentation
  • Power systems disturbance analysis


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