Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/50524
DC FieldValue
dc.titleA wavelet multiresolution analysis approach to fault detection and classification in transmission lines
dc.contributor.authorLiang, J.
dc.contributor.authorElangovan, S.
dc.contributor.authorDevotta, J.B.X.
dc.date.accessioned2014-04-23T02:58:42Z
dc.date.available2014-04-23T02:58:42Z
dc.date.issued1998-06
dc.identifier.citationLiang, J.,Elangovan, S.,Devotta, J.B.X. (1998-06). A wavelet multiresolution analysis approach to fault detection and classification in transmission lines. International Journal of Electrical Power and Energy Systems 20 (5) : 327-332. ScholarBank@NUS Repository.
dc.identifier.issn01420615
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/50524
dc.description.abstractA real-time wavelet multiresolution analysis (MRA)-based fault detection and classification algorithm is proposed in this paper. The first stage MRA detail signals extracted from the original signals are used as the criteria for this problem. By measuring the sharp variation values of the MRA detail signals, faults in the power system can be detected. The fault type is then identified by the comparison of the three-phase MRA sharp variations. The effects of the fault distance, fault inception angle and fault impedance are examined, and the fault classification routine is designed to overcome their effects. Simulation results show that this algorithm is effective and robust, and it is promising in high impedance fault detection. © 1998 Elsevier Science Ltd. All rights reserved.
dc.sourceScopus
dc.subjectFault detection and classification
dc.subjectMultiresolution analysis (MRA)
dc.subjectWavelet transform
dc.typeArticle
dc.contributor.departmentCENTRE FOR WIRELESS COMMUNICATIONS
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleInternational Journal of Electrical Power and Energy Systems
dc.description.volume20
dc.description.issue5
dc.description.page327-332
dc.description.codenIEPSD
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

125
checked on Jan 13, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.