TY - GEN
T1 - Signal segmentation of fault records based on Empirical Mode Decomposition
AU - Musaruddin, Mustarum
AU - Zivanovic, Rastko
PY - 2011
Y1 - 2011
N2 - This paper describes an application of the Empirical Mode Decomposition (EMD) technique in signal segmentation of fault records. The segmentation is important pre-processing step required for automated analysis of data recorded during faults on transmission lines. The proposed technique achieves reliable and automated segmentation of three-phase voltage and current signals in pre-fault, fault and fault-cleared stationary signal segments. The proposed EMD segmentation technique has been tested using practical disturbance records and representative results are presented in this paper.
AB - This paper describes an application of the Empirical Mode Decomposition (EMD) technique in signal segmentation of fault records. The segmentation is important pre-processing step required for automated analysis of data recorded during faults on transmission lines. The proposed technique achieves reliable and automated segmentation of three-phase voltage and current signals in pre-fault, fault and fault-cleared stationary signal segments. The proposed EMD segmentation technique has been tested using practical disturbance records and representative results are presented in this paper.
KW - Automated Fault Analysis
KW - Empirical Mode Decomposition
KW - Signal Segmentation
KW - Transmission Line
UR - http://www.scopus.com/inward/record.url?scp=84856815610&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2011.6129079
DO - 10.1109/TENCON.2011.6129079
M3 - Conference contribution
AN - SCOPUS:84856815610
SN - 9781457702556
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 138
EP - 143
BT - TENCON 2011 - 2011 IEEE Region 10 Conference
T2 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Y2 - 21 November 2011 through 24 November 2011
ER -