Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/69625
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DC Field | Value | Language |
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dc.contributor.author | Musaruddin, M. | - |
dc.contributor.author | Zivanovic, R. | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Proceedings of TENCON 2011 (IEEE Region 10 Conference), 2011: pp.334-339 | - |
dc.identifier.isbn | 9781457702549 | - |
dc.identifier.uri | http://hdl.handle.net/2440/69625 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Mustarum Musaruddin and Rastko Zivanovic | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.rights | ©2011 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tencon.2011.6129079 | - |
dc.subject | Automated Fault Analysis | - |
dc.subject | Transmission Line | - |
dc.subject | Signal Segmentation | - |
dc.subject | Empirical Mode Decomposition | - |
dc.title | Signal segmentation of fault records based on empirical mode decomposition | - |
dc.type | Conference paper | - |
dc.contributor.conference | TENCON (2011 : Bali, Indonesia) | - |
dc.identifier.doi | 10.1109/TENCON.2011.6129079 | - |
dc.publisher.place | CD | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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