Matches in SemOpenAlex for { <https://semopenalex.org/work/W3191406403> ?p ?o ?g. }
- W3191406403 endingPage "108521" @default.
- W3191406403 startingPage "108521" @default.
- W3191406403 abstract "• Modular structured deep learning-based NPP accident identification system. • The system includes modules for anomaly detection and “don't know” response. • Identification of NPP accidents with 99.82% accuracy and unknown situations with 100%. Nuclear power plants (NPPs) are complex systems that are monitored by a team of highly trained operators, that in case of an anomalous event on the NPP, such as an accident, must quickly analyze a high number of variables in order to identify the event. However, due to the great volume of information that must be rapidly analyzed in those situations, misidentifications can occur. Therefore, this study proposes the development of a modular structured, deep learning (DL)-based, NPP accident identification system including anomaly detection and “don’t know” response capability. In order to assess the system capacity, experiments were conducted using a realistic study case using 16 operational situations of main operational Brazilian PWR NPP. As a result, the best configuration of DL models for the system achieved an average accuracy of 100% in terms of correct ‘‘don’t know” identification, while still retaining the accuracy of 99.82% on correct event identifications." @default.
- W3191406403 created "2021-08-16" @default.
- W3191406403 creator A5003356775 @default.
- W3191406403 creator A5046779719 @default.
- W3191406403 creator A5053622672 @default.
- W3191406403 date "2021-11-01" @default.
- W3191406403 modified "2023-10-06" @default.
- W3191406403 title "A multiple-architecture deep learning approach for nuclear power plants accidents classification including anomaly detection and “don’t know” response" @default.
- W3191406403 cites W1903029394 @default.
- W3191406403 cites W2048420721 @default.
- W3191406403 cites W2062351244 @default.
- W3191406403 cites W2064675550 @default.
- W3191406403 cites W2066445142 @default.
- W3191406403 cites W2076063813 @default.
- W3191406403 cites W2084229232 @default.
- W3191406403 cites W2095345875 @default.
- W3191406403 cites W2115627867 @default.
- W3191406403 cites W2464614383 @default.
- W3191406403 cites W2488827805 @default.
- W3191406403 cites W2551393996 @default.
- W3191406403 cites W2556165835 @default.
- W3191406403 cites W2743138268 @default.
- W3191406403 cites W2752782242 @default.
- W3191406403 cites W2754051771 @default.
- W3191406403 cites W2775133808 @default.
- W3191406403 cites W2783323081 @default.
- W3191406403 cites W2785688755 @default.
- W3191406403 cites W2791103947 @default.
- W3191406403 cites W2877193671 @default.
- W3191406403 cites W2892035503 @default.
- W3191406403 cites W2896143442 @default.
- W3191406403 cites W2919115771 @default.
- W3191406403 cites W2953429998 @default.
- W3191406403 cites W2954316518 @default.
- W3191406403 cites W2954697193 @default.
- W3191406403 cites W2963049059 @default.
- W3191406403 cites W2965572961 @default.
- W3191406403 cites W2982534622 @default.
- W3191406403 cites W2988244882 @default.
- W3191406403 cites W2995015263 @default.
- W3191406403 cites W3027348504 @default.
- W3191406403 cites W3037019107 @default.
- W3191406403 cites W3081229243 @default.
- W3191406403 cites W3114437820 @default.
- W3191406403 cites W3191026187 @default.
- W3191406403 doi "https://doi.org/10.1016/j.anucene.2021.108521" @default.
- W3191406403 hasPublicationYear "2021" @default.
- W3191406403 type Work @default.
- W3191406403 sameAs 3191406403 @default.
- W3191406403 citedByCount "6" @default.
- W3191406403 countsByYear W31914064032022 @default.
- W3191406403 countsByYear W31914064032023 @default.
- W3191406403 crossrefType "journal-article" @default.
- W3191406403 hasAuthorship W3191406403A5003356775 @default.
- W3191406403 hasAuthorship W3191406403A5046779719 @default.
- W3191406403 hasAuthorship W3191406403A5053622672 @default.
- W3191406403 hasConcept C119857082 @default.
- W3191406403 hasConcept C121332964 @default.
- W3191406403 hasConcept C123657996 @default.
- W3191406403 hasConcept C12997251 @default.
- W3191406403 hasConcept C154945302 @default.
- W3191406403 hasConcept C163258240 @default.
- W3191406403 hasConcept C166957645 @default.
- W3191406403 hasConcept C185544564 @default.
- W3191406403 hasConcept C26873012 @default.
- W3191406403 hasConcept C41008148 @default.
- W3191406403 hasConcept C513653683 @default.
- W3191406403 hasConcept C62520636 @default.
- W3191406403 hasConcept C739882 @default.
- W3191406403 hasConcept C95457728 @default.
- W3191406403 hasConceptScore W3191406403C119857082 @default.
- W3191406403 hasConceptScore W3191406403C121332964 @default.
- W3191406403 hasConceptScore W3191406403C123657996 @default.
- W3191406403 hasConceptScore W3191406403C12997251 @default.
- W3191406403 hasConceptScore W3191406403C154945302 @default.
- W3191406403 hasConceptScore W3191406403C163258240 @default.
- W3191406403 hasConceptScore W3191406403C166957645 @default.
- W3191406403 hasConceptScore W3191406403C185544564 @default.
- W3191406403 hasConceptScore W3191406403C26873012 @default.
- W3191406403 hasConceptScore W3191406403C41008148 @default.
- W3191406403 hasConceptScore W3191406403C513653683 @default.
- W3191406403 hasConceptScore W3191406403C62520636 @default.
- W3191406403 hasConceptScore W3191406403C739882 @default.
- W3191406403 hasConceptScore W3191406403C95457728 @default.
- W3191406403 hasLocation W31914064031 @default.
- W3191406403 hasOpenAccess W3191406403 @default.
- W3191406403 hasPrimaryLocation W31914064031 @default.
- W3191406403 hasRelatedWork W2806741695 @default.
- W3191406403 hasRelatedWork W2961085424 @default.
- W3191406403 hasRelatedWork W3044458868 @default.
- W3191406403 hasRelatedWork W3189286258 @default.
- W3191406403 hasRelatedWork W3207797160 @default.
- W3191406403 hasRelatedWork W3210364259 @default.
- W3191406403 hasRelatedWork W4285195761 @default.
- W3191406403 hasRelatedWork W4290647774 @default.
- W3191406403 hasRelatedWork W4306674287 @default.
- W3191406403 hasRelatedWork W4224009465 @default.
- W3191406403 hasVolume "162" @default.