Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910145865> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2910145865 endingPage "185" @default.
- W2910145865 startingPage "178" @default.
- W2910145865 abstract "Abstract This paper presents a machine learning-based approach to power transformer fault diagnosis based on dissolved gas analysis (DGA), a bat algorithm (BA), optimizing the probabilistic neural network (PNN). PNN is a radial basis function feedforward neural network based on Bayesian decision theory, which has a strong fault tolerance and significant advantages in pattern classification. However, one challenge still remains: the performance of PNN is greatly affected by its hidden layer element smooth factor which impacts the classification performance. The proposed approach addresses this challenge by deploying the BA algorithm, a kind of bio-inspired algorithm to optimize PNN. Using the real data collected from a transformer system, we conducted the experiments for validating the performance of the developed method. The experimental results demonstrated that BA is an effective algorithm for optimizing PNN smooth factor and BA-PNN can improve the fault diagnosis performance; in turn, and the machine learning-based model (BA-PNN) can significantly enhance the accuracies of power transformer fault diagnosis." @default.
- W2910145865 created "2019-01-25" @default.
- W2910145865 creator A5039022332 @default.
- W2910145865 creator A5051086577 @default.
- W2910145865 creator A5051955876 @default.
- W2910145865 creator A5065183587 @default.
- W2910145865 creator A5065455089 @default.
- W2910145865 creator A5079634540 @default.
- W2910145865 date "2019-01-01" @default.
- W2910145865 modified "2023-10-17" @default.
- W2910145865 title "BA-PNN-based methods for power transformer fault diagnosis" @default.
- W2910145865 cites W1964168965 @default.
- W2910145865 cites W1980423287 @default.
- W2910145865 cites W2002305563 @default.
- W2910145865 cites W2076648724 @default.
- W2910145865 cites W2082188479 @default.
- W2910145865 cites W2084575229 @default.
- W2910145865 cites W2102321334 @default.
- W2910145865 cites W2160856693 @default.
- W2910145865 cites W2163214087 @default.
- W2910145865 cites W2236741694 @default.
- W2910145865 cites W2370500362 @default.
- W2910145865 cites W2415033110 @default.
- W2910145865 cites W2593479727 @default.
- W2910145865 cites W2728997027 @default.
- W2910145865 cites W2766230721 @default.
- W2910145865 doi "https://doi.org/10.1016/j.aei.2019.01.001" @default.
- W2910145865 hasPublicationYear "2019" @default.
- W2910145865 type Work @default.
- W2910145865 sameAs 2910145865 @default.
- W2910145865 citedByCount "61" @default.
- W2910145865 countsByYear W29101458652019 @default.
- W2910145865 countsByYear W29101458652020 @default.
- W2910145865 countsByYear W29101458652021 @default.
- W2910145865 countsByYear W29101458652022 @default.
- W2910145865 countsByYear W29101458652023 @default.
- W2910145865 crossrefType "journal-article" @default.
- W2910145865 hasAuthorship W2910145865A5039022332 @default.
- W2910145865 hasAuthorship W2910145865A5051086577 @default.
- W2910145865 hasAuthorship W2910145865A5051955876 @default.
- W2910145865 hasAuthorship W2910145865A5065183587 @default.
- W2910145865 hasAuthorship W2910145865A5065455089 @default.
- W2910145865 hasAuthorship W2910145865A5079634540 @default.
- W2910145865 hasConcept C119599485 @default.
- W2910145865 hasConcept C127313418 @default.
- W2910145865 hasConcept C127413603 @default.
- W2910145865 hasConcept C153180895 @default.
- W2910145865 hasConcept C154945302 @default.
- W2910145865 hasConcept C165205528 @default.
- W2910145865 hasConcept C165801399 @default.
- W2910145865 hasConcept C175551986 @default.
- W2910145865 hasConcept C200601418 @default.
- W2910145865 hasConcept C24326235 @default.
- W2910145865 hasConcept C41008148 @default.
- W2910145865 hasConcept C66322947 @default.
- W2910145865 hasConceptScore W2910145865C119599485 @default.
- W2910145865 hasConceptScore W2910145865C127313418 @default.
- W2910145865 hasConceptScore W2910145865C127413603 @default.
- W2910145865 hasConceptScore W2910145865C153180895 @default.
- W2910145865 hasConceptScore W2910145865C154945302 @default.
- W2910145865 hasConceptScore W2910145865C165205528 @default.
- W2910145865 hasConceptScore W2910145865C165801399 @default.
- W2910145865 hasConceptScore W2910145865C175551986 @default.
- W2910145865 hasConceptScore W2910145865C200601418 @default.
- W2910145865 hasConceptScore W2910145865C24326235 @default.
- W2910145865 hasConceptScore W2910145865C41008148 @default.
- W2910145865 hasConceptScore W2910145865C66322947 @default.
- W2910145865 hasFunder F4320321001 @default.
- W2910145865 hasLocation W29101458651 @default.
- W2910145865 hasOpenAccess W2910145865 @default.
- W2910145865 hasPrimaryLocation W29101458651 @default.
- W2910145865 hasRelatedWork W2350175534 @default.
- W2910145865 hasRelatedWork W2350251039 @default.
- W2910145865 hasRelatedWork W2354065378 @default.
- W2910145865 hasRelatedWork W2354924862 @default.
- W2910145865 hasRelatedWork W2366681273 @default.
- W2910145865 hasRelatedWork W2389311989 @default.
- W2910145865 hasRelatedWork W2393742525 @default.
- W2910145865 hasRelatedWork W2393984539 @default.
- W2910145865 hasRelatedWork W2899084033 @default.
- W2910145865 hasRelatedWork W2952183538 @default.
- W2910145865 hasVolume "39" @default.
- W2910145865 isParatext "false" @default.
- W2910145865 isRetracted "false" @default.
- W2910145865 magId "2910145865" @default.
- W2910145865 workType "article" @default.