Please use this identifier to cite or link to this item: https://doi.org/10.1049/ip-smt:20045036
DC FieldValue
dc.titleClassification of partial discharge events in gas-insulated substations using wavelet packet transform and neural network approaches
dc.contributor.authorJin, J.
dc.contributor.authorChang, C.S.
dc.contributor.authorChang, C.
dc.contributor.authorHoshino, T.
dc.contributor.authorHanai, M.
dc.contributor.authorKobayashi, N.
dc.date.accessioned2014-06-17T02:41:31Z
dc.date.available2014-06-17T02:41:31Z
dc.date.issued2006-03
dc.identifier.citationJin, J., Chang, C.S., Chang, C., Hoshino, T., Hanai, M., Kobayashi, N. (2006-03). Classification of partial discharge events in gas-insulated substations using wavelet packet transform and neural network approaches. IEE Proceedings: Science, Measurement and Technology 153 (2) : 55-63. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-smt:20045036
dc.identifier.issn13502344
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55302
dc.description.abstractTo ensure the safe and reliable operation of a gas-insulated substation (GIS), it is crucial to quickly identify partial discharge (PD) sources to prevent the occurrance of breakdowns. A method based on wavelet packet transform techniques is developed to meet this requirement. The proposed method extracts is able to extract features from ultra-high frequency resonance signals measured from a test GIS section. These features are subsequently used to train a neural network that is then able to quickly and reliably diagnose PD events. A quality-assurance scheme is developed that ensures the robustness of the PD classification to changes in the background noise level and the location of the PD event within the test GIS section.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1049/ip-smt:20045036
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1049/ip-smt:20045036
dc.description.sourcetitleIEE Proceedings: Science, Measurement and Technology
dc.description.volume153
dc.description.issue2
dc.description.page55-63
dc.description.codenISMTE
dc.identifier.isiut000236607800002
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

18
checked on Jun 12, 2021

WEB OF SCIENCETM
Citations

14
checked on Jun 4, 2021

Page view(s)

93
checked on Jun 11, 2021

Google ScholarTM

Check

Altmetric


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