DocumentCode
3004864
Title
Signal segmentation of fault records based on Empirical Mode Decomposition
Author
Musaruddin, Mustarum ; Zivanovic, Rastko
Author_Institution
Dept. of Electr. Eng., Haluoleo Univ., Indonesia
fYear
2011
fDate
21-24 Nov. 2011
Firstpage
138
Lastpage
143
Abstract
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.
Keywords
data analysis; power engineering computing; power transmission faults; power transmission lines; power transmission reliability; signal processing; EMD segmentation technique; automated data analysis; current signals; empirical mode decomposition technique; fault records; fault-cleared stationary signal segments; signal segmentation; three-phase voltage; transmission lines; Circuit faults; Fault currents; Power transmission lines; Substations; Time frequency analysis; Wavelet transforms; Automated Fault Analysis; Empirical Mode Decomposition; Signal Segmentation; Transmission Line;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location
Bali
ISSN
2159-3442
Print_ISBN
978-1-4577-0256-3
Type
conf
DOI
10.1109/TENCON.2011.6129079
Filename
6129079
Link To Document