TY - GEN
T1 - Automatic signal segmentation based on abrupt change detection for power systems applications
AU - Ukil, Abhisek
AU - Živanović, Rastko
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Abrupt change detection
KW - Automatic signal segmentation
KW - Power systems disturbance analysis
UR - http://www.scopus.com/inward/record.url?scp=33847168590&partnerID=8YFLogxK
U2 - 10.1109/POWERI.2006.1632488
DO - 10.1109/POWERI.2006.1632488
M3 - Conference contribution
AN - SCOPUS:33847168590
SN - 0780395255
SN - 9780780395251
T3 - 2006 IEEE Power India Conference
SP - 33
EP - 40
BT - 2006 IEEE Power India Conference
T2 - 2006 IEEE Power India Conference
Y2 - 10 April 2006 through 12 April 2006
ER -