Fault diagnosis on electrical distribution systems based on fuzzy logic

Ramón Perez, Esteban Inga, Alexander Aguila, Carmen Vásquez, Liliana Lima, Amelec Viloria, Maury Ardila Henry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations
Translated title of the contributionDiagnóstico de fallos en sistemas de distribución eléctrica basado en lógica difusa
Original languageEnglish
Title of host publicationFault diagnosis on electrical distribution systems based on fuzzy logic
EditorsYing Tan, Qirong Tang, Yuhui Shi
Pages174-185
Number of pages12
ISBN (Electronic)9783319938172
DOIs
StatePublished - 1 Jan 2018
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - , Spain
Duration: 1 Jan 2010 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
CountrySpain
Period1/01/10 → …

Keywords

  • Distribution systems
  • Fault location
  • Fault type
  • Fuzzy logic

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  • Cite this

    Perez, R., Inga, E., Aguila, A., Vásquez, C., Lima, L., Viloria, A., & Henry, M. A. (2018). Fault diagnosis on electrical distribution systems based on fuzzy logic. In Y. Tan, Q. Tang, & Y. Shi (Eds.), Fault diagnosis on electrical distribution systems based on fuzzy logic (pp. 174-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10942 LNCS). https://doi.org/10.1007/978-3-319-93818-9_17