Please use this identifier to cite or link to this item:
https://doi.org/10.1049/ip-epa:20010350
DC Field | Value | |
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dc.title | Real-time detection using wavelet transform and neural network of short-circuit faults within a train in DC transit systems | |
dc.contributor.author | Chang, C.S. | |
dc.contributor.author | Kumar, S. | |
dc.contributor.author | Liu, B. | |
dc.contributor.author | Khambadkone, A. | |
dc.date.accessioned | 2014-04-24T07:24:18Z | |
dc.date.available | 2014-04-24T07:24:18Z | |
dc.date.issued | 2001-05 | |
dc.identifier.citation | Chang, C.S., Kumar, S., Liu, B., Khambadkone, A. (2001-05). Real-time detection using wavelet transform and neural network of short-circuit faults within a train in DC transit systems. IEE Proceedings: Electric Power Applications 148 (3) : 251-256. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-epa:20010350 | |
dc.identifier.issn | 13502352 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/51023 | |
dc.description.abstract | A method is proposed for the real-time detection of DC-link short-circuit faults in DC transit systems. The discrete wavelet transform is implemented to detect any surges in the DC thirdrail current waveform. In the event of a surge the wavelet transform extracts a feature vector from the current waveform and feeds it to a self-organising neural network. The neural network determines whether the feature vector belongs to a normal or a fault current surge. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1049/ip-epa:20010350 | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | DATA STORAGE INSTITUTE | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1049/ip-epa:20010350 | |
dc.description.sourcetitle | IEE Proceedings: Electric Power Applications | |
dc.description.volume | 148 | |
dc.description.issue | 3 | |
dc.description.page | 251-256 | |
dc.description.coden | IEPAE | |
dc.identifier.isiut | 000169192500004 | |
Appears in Collections: | Staff Publications |
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