Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078528405> ?p ?o ?g. }
- W2078528405 endingPage "51" @default.
- W2078528405 startingPage "36" @default.
- W2078528405 abstract "This paper proposes an approach for Fault Diagnosis and Isolation (FDI) on industrial systems via faults estimation. FDI is presented as an optimization problem and it is solved with Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithms. Also, is presented a study of the influence of some parameters from PSO and ACO in the desirable characteristics of FDI, i.e. robustness and sensitivity. As a consequence, the Particle Swarm Optimization with Memory (PSO-M) algorithm, a new variant of PSO was developed. PSO-M has the objective of reducing the number of iterations/generations that PSO needs to execute in order to provide a reasonable quality diagnosis. The proposed approach is tested using simulated data from a DC Motor benchmark. The results and analysis indicate the suitability of the approach as well as the PSO-M algorithm." @default.
- W2078528405 created "2016-06-24" @default.
- W2078528405 creator A5001829564 @default.
- W2078528405 creator A5023155017 @default.
- W2078528405 creator A5085517911 @default.
- W2078528405 creator A5059809107 @default.
- W2078528405 creator A5077425677 @default.
- W2078528405 date "2014-02-01" @default.
- W2078528405 modified "2023-10-17" @default.
- W2078528405 title "A variant of the particle swarm optimization for the improvement of fault diagnosis in industrial systems via faults estimation" @default.
- W2078528405 cites W1482540049 @default.
- W2078528405 cites W1565206817 @default.
- W2078528405 cites W1602642638 @default.
- W2078528405 cites W1970129395 @default.
- W2078528405 cites W1972904341 @default.
- W2078528405 cites W1975009952 @default.
- W2078528405 cites W1983214037 @default.
- W2078528405 cites W2010568068 @default.
- W2078528405 cites W2010922160 @default.
- W2078528405 cites W2040191959 @default.
- W2078528405 cites W2052902516 @default.
- W2078528405 cites W2057150170 @default.
- W2078528405 cites W2059569133 @default.
- W2078528405 cites W2063473373 @default.
- W2078528405 cites W2072662494 @default.
- W2078528405 cites W2082903517 @default.
- W2078528405 cites W2089501235 @default.
- W2078528405 cites W2096166399 @default.
- W2078528405 cites W2118573797 @default.
- W2078528405 cites W2120736455 @default.
- W2078528405 cites W2131613989 @default.
- W2078528405 cites W2135663228 @default.
- W2078528405 cites W2147129131 @default.
- W2078528405 cites W2169245194 @default.
- W2078528405 cites W2171230839 @default.
- W2078528405 cites W2483800471 @default.
- W2078528405 cites W4235457221 @default.
- W2078528405 doi "https://doi.org/10.1016/j.engappai.2013.11.007" @default.
- W2078528405 hasPublicationYear "2014" @default.
- W2078528405 type Work @default.
- W2078528405 sameAs 2078528405 @default.
- W2078528405 citedByCount "23" @default.
- W2078528405 countsByYear W20785284052016 @default.
- W2078528405 countsByYear W20785284052017 @default.
- W2078528405 countsByYear W20785284052018 @default.
- W2078528405 countsByYear W20785284052019 @default.
- W2078528405 countsByYear W20785284052020 @default.
- W2078528405 countsByYear W20785284052021 @default.
- W2078528405 countsByYear W20785284052022 @default.
- W2078528405 countsByYear W20785284052023 @default.
- W2078528405 crossrefType "journal-article" @default.
- W2078528405 hasAuthorship W2078528405A5001829564 @default.
- W2078528405 hasAuthorship W2078528405A5023155017 @default.
- W2078528405 hasAuthorship W2078528405A5059809107 @default.
- W2078528405 hasAuthorship W2078528405A5077425677 @default.
- W2078528405 hasAuthorship W2078528405A5085517911 @default.
- W2078528405 hasConcept C104317684 @default.
- W2078528405 hasConcept C109718341 @default.
- W2078528405 hasConcept C11413529 @default.
- W2078528405 hasConcept C122357587 @default.
- W2078528405 hasConcept C126255220 @default.
- W2078528405 hasConcept C127413603 @default.
- W2078528405 hasConcept C13280743 @default.
- W2078528405 hasConcept C185592680 @default.
- W2078528405 hasConcept C185798385 @default.
- W2078528405 hasConcept C205649164 @default.
- W2078528405 hasConcept C21200559 @default.
- W2078528405 hasConcept C24326235 @default.
- W2078528405 hasConcept C33923547 @default.
- W2078528405 hasConcept C40128228 @default.
- W2078528405 hasConcept C41008148 @default.
- W2078528405 hasConcept C4935549 @default.
- W2078528405 hasConcept C55493867 @default.
- W2078528405 hasConcept C63479239 @default.
- W2078528405 hasConcept C85617194 @default.
- W2078528405 hasConceptScore W2078528405C104317684 @default.
- W2078528405 hasConceptScore W2078528405C109718341 @default.
- W2078528405 hasConceptScore W2078528405C11413529 @default.
- W2078528405 hasConceptScore W2078528405C122357587 @default.
- W2078528405 hasConceptScore W2078528405C126255220 @default.
- W2078528405 hasConceptScore W2078528405C127413603 @default.
- W2078528405 hasConceptScore W2078528405C13280743 @default.
- W2078528405 hasConceptScore W2078528405C185592680 @default.
- W2078528405 hasConceptScore W2078528405C185798385 @default.
- W2078528405 hasConceptScore W2078528405C205649164 @default.
- W2078528405 hasConceptScore W2078528405C21200559 @default.
- W2078528405 hasConceptScore W2078528405C24326235 @default.
- W2078528405 hasConceptScore W2078528405C33923547 @default.
- W2078528405 hasConceptScore W2078528405C40128228 @default.
- W2078528405 hasConceptScore W2078528405C41008148 @default.
- W2078528405 hasConceptScore W2078528405C4935549 @default.
- W2078528405 hasConceptScore W2078528405C55493867 @default.
- W2078528405 hasConceptScore W2078528405C63479239 @default.
- W2078528405 hasConceptScore W2078528405C85617194 @default.
- W2078528405 hasLocation W20785284051 @default.
- W2078528405 hasOpenAccess W2078528405 @default.
- W2078528405 hasPrimaryLocation W20785284051 @default.
- W2078528405 hasRelatedWork W1521781013 @default.