Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm

IEE Proceedings: Electric Power Applications

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Main Authors: Chang, C.S., Tian, L.F.
Other Authors: ELECTRICAL ENGINEERING
Format: Article
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/81364
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-813642023-08-10T08:33:32Z Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm Chang, C.S. Tian, L.F. ELECTRICAL ENGINEERING IEE Proceedings: Electric Power Applications 146 5 570-575 IEPAE 2014-10-07T03:07:30Z 2014-10-07T03:07:30Z 1999 Article Chang, C.S., Tian, L.F. (1999). Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm. IEE Proceedings: Electric Power Applications 146 (5) : 570-575. ScholarBank@NUS Repository. 13502352 http://scholarbank.nus.edu.sg/handle/10635/81364 000165805500014 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description IEE Proceedings: Electric Power Applications
author2 ELECTRICAL ENGINEERING
author_facet ELECTRICAL ENGINEERING
Chang, C.S.
Tian, L.F.
format Article
author Chang, C.S.
Tian, L.F.
spellingShingle Chang, C.S.
Tian, L.F.
Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
author_sort Chang, C.S.
title Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
title_short Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
title_full Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
title_fullStr Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
title_full_unstemmed Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm
title_sort worst-case identification of touch voltage and stray current of dc railway system using genetic algorithm
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/81364
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