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 contributionResearch

1 Citation (Scopus)
Original languageEnglish (US)
Title of host publicationFault diagnosis on electrical distribution systems based on fuzzy logic
Pages174-185
Number of pages12
ISBN (Electronic)9783319938172
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

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

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

Fingerprint

Distribution System
Fault Diagnosis
Fuzzy Logic
Fuzzy logic
Failure analysis
Fault
Fuzzy rules
Artificial intelligence
Fault Simulation
Networks (circuits)
Vertex of a graph
Fuzzy Rules
Artificial Intelligence
Diagnostics

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 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
Perez, Ramón ; Inga, Esteban ; Aguila, Alexander ; Vásquez, Carmen ; Lima, Liliana ; Viloria, Amelec ; Henry, Maury Ardila. / Fault diagnosis on electrical distribution systems based on fuzzy logic. Fault diagnosis on electrical distribution systems based on fuzzy logic. 2018. pp. 174-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Perez, R, Inga, E, Aguila, A, Vásquez, C, Lima, L, Viloria, A & Henry, MA 2018, Fault diagnosis on electrical distribution systems based on fuzzy logic. in Fault diagnosis on electrical distribution systems based on fuzzy logic. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10942 LNCS, pp. 174-185, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/18. https://doi.org/10.1007/978-3-319-93818-9_17

Fault diagnosis on electrical distribution systems based on fuzzy logic. / Perez, Ramón; Inga, Esteban; Aguila, Alexander; Vásquez, Carmen; Lima, Liliana; Viloria, Amelec; Henry, Maury Ardila.

Fault diagnosis on electrical distribution systems based on fuzzy logic. 2018. p. 174-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10942 LNCS).

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

TY - GEN

T1 - Fault diagnosis on electrical distribution systems based on fuzzy logic

AU - Perez, Ramón

AU - Inga, Esteban

AU - Aguila, Alexander

AU - Vásquez, Carmen

AU - Lima, Liliana

AU - Viloria, Amelec

AU - Henry, Maury Ardila

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M3 - Conference contribution

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Fault diagnosis on electrical distribution systems based on fuzzy logic

ER -

Perez R, Inga E, Aguila A, Vásquez C, Lima L, Viloria A et al. Fault diagnosis on electrical distribution systems based on fuzzy logic. In Fault diagnosis on electrical distribution systems based on fuzzy logic. 2018. p. 174-185. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-93818-9_17