A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional do IEN |
Texto Completo: | http://carpedien.ien.gov.br:8080/handle/ien/1836 |
Resumo: | Accident diagnosis in nuclear power plants (NPPs) is a very hard task for plant operators due to the number of variables they have to deal simultaneously when facing accident situations. The previous identification of possible accident situations is an essential issue for safe operation in NPPs. Artificial intelligence techniques and tools are suitable to identify complex systems accident situations because the system faults and anomalies lead to different pattern evolution in the correlated processes variables. Such patterns can be identified by Artificial Neuron Networks (ANNs). The system developed in this work aims to support operators’ attention and direction during accidents in NPPs using a Neuro-Fuzzy approach for event’s identification forecast. ANNs are used to perform this task. After the NN has done the event type identification, a fuzzy-logic system analyzes the results giving a reliability level of that. The results have shown the system is capable to help the operators to direct their attention and narrow their information search field in the noisy background of the operation during accident situations in nuclear power plants. |
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CARVALHO, Paulo Victor Rodrigues deMOL, Antonio CarlosCOSTA, Rafael GomesSILVA, Márcio HenriqueSIQUEIRA, Ana Paula Legey deComissão Nacional de Energia Nuclear.Comissão Nacional de Energia Nuclear.Comissão Nacional de Energia Nuclear.Comissão Nacional de Energia Nuclear.Comissão Nacional de Energia Nuclear.2017-05-17T15:28:07Z2017-05-17T15:28:07Z2015http://carpedien.ien.gov.br:8080/handle/ien/1836Submitted by Vanessa Silva (vanessacapucho.uerj@gmail.com) on 2017-05-17T15:28:07Z No. of bitstreams: 1 A_NEURO-FUZZY_SYSTEM_TO_SUPPORT_THE_ATTENTION_DIRE.pdf: 1077284 bytes, checksum: a5f97faf21aea78e17a9ed229280b9fb (MD5)Made available in DSpace on 2017-05-17T15:28:07Z (GMT). No. of bitstreams: 1 A_NEURO-FUZZY_SYSTEM_TO_SUPPORT_THE_ATTENTION_DIRE.pdf: 1077284 bytes, checksum: a5f97faf21aea78e17a9ed229280b9fb (MD5)Accident diagnosis in nuclear power plants (NPPs) is a very hard task for plant operators due to the number of variables they have to deal simultaneously when facing accident situations. The previous identification of possible accident situations is an essential issue for safe operation in NPPs. Artificial intelligence techniques and tools are suitable to identify complex systems accident situations because the system faults and anomalies lead to different pattern evolution in the correlated processes variables. Such patterns can be identified by Artificial Neuron Networks (ANNs). The system developed in this work aims to support operators’ attention and direction during accidents in NPPs using a Neuro-Fuzzy approach for event’s identification forecast. ANNs are used to perform this task. After the NN has done the event type identification, a fuzzy-logic system analyzes the results giving a reliability level of that. The results have shown the system is capable to help the operators to direct their attention and narrow their information search field in the noisy background of the operation during accident situations in nuclear power plants.porInstituto de Engenharia NuclearIENBrasilartificial neuron networks,neuro-fuzzy systemevent identificationoperation of nuclear power plantsattention and directionA NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORSinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do IENinstname:Instituto de Engenharia Nuclearinstacron:IENLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/1836/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALA_NEURO-FUZZY_SYSTEM_TO_SUPPORT_THE_ATTENTION_DIRE.pdfA_NEURO-FUZZY_SYSTEM_TO_SUPPORT_THE_ATTENTION_DIRE.pdfapplication/pdf1077284http://carpedien.ien.gov.br:8080/xmlui/bitstream/ien/1836/1/A_NEURO-FUZZY_SYSTEM_TO_SUPPORT_THE_ATTENTION_DIRE.pdfa5f97faf21aea78e17a9ed229280b9fbMD51ien/1836oai:carpedien.ien.gov.br:ien/18362017-05-24 13:58:34.042Dspace IENlsales@ien.gov.brTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |
dc.title.pt_BR.fl_str_mv |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
title |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
spellingShingle |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS CARVALHO, Paulo Victor Rodrigues de artificial neuron networks, neuro-fuzzy system event identification operation of nuclear power plants attention and direction |
title_short |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
title_full |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
title_fullStr |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
title_full_unstemmed |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
title_sort |
A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION AND DIRECTION OF NUCLEAR POWER PLANT OPERATORS |
author |
CARVALHO, Paulo Victor Rodrigues de |
author_facet |
CARVALHO, Paulo Victor Rodrigues de MOL, Antonio Carlos COSTA, Rafael Gomes SILVA, Márcio Henrique SIQUEIRA, Ana Paula Legey de Comissão Nacional de Energia Nuclear. |
author_role |
author |
author2 |
MOL, Antonio Carlos COSTA, Rafael Gomes SILVA, Márcio Henrique SIQUEIRA, Ana Paula Legey de Comissão Nacional de Energia Nuclear. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
CARVALHO, Paulo Victor Rodrigues de MOL, Antonio Carlos COSTA, Rafael Gomes SILVA, Márcio Henrique SIQUEIRA, Ana Paula Legey de Comissão Nacional de Energia Nuclear. Comissão Nacional de Energia Nuclear. Comissão Nacional de Energia Nuclear. Comissão Nacional de Energia Nuclear. Comissão Nacional de Energia Nuclear. |
dc.subject.por.fl_str_mv |
artificial neuron networks, neuro-fuzzy system event identification operation of nuclear power plants attention and direction |
topic |
artificial neuron networks, neuro-fuzzy system event identification operation of nuclear power plants attention and direction |
dc.description.abstract.por.fl_txt_mv |
Accident diagnosis in nuclear power plants (NPPs) is a very hard task for plant operators due to the number of variables they have to deal simultaneously when facing accident situations. The previous identification of possible accident situations is an essential issue for safe operation in NPPs. Artificial intelligence techniques and tools are suitable to identify complex systems accident situations because the system faults and anomalies lead to different pattern evolution in the correlated processes variables. Such patterns can be identified by Artificial Neuron Networks (ANNs). The system developed in this work aims to support operators’ attention and direction during accidents in NPPs using a Neuro-Fuzzy approach for event’s identification forecast. ANNs are used to perform this task. After the NN has done the event type identification, a fuzzy-logic system analyzes the results giving a reliability level of that. The results have shown the system is capable to help the operators to direct their attention and narrow their information search field in the noisy background of the operation during accident situations in nuclear power plants. |
description |
Accident diagnosis in nuclear power plants (NPPs) is a very hard task for plant operators due to the number of variables they have to deal simultaneously when facing accident situations. The previous identification of possible accident situations is an essential issue for safe operation in NPPs. Artificial intelligence techniques and tools are suitable to identify complex systems accident situations because the system faults and anomalies lead to different pattern evolution in the correlated processes variables. Such patterns can be identified by Artificial Neuron Networks (ANNs). The system developed in this work aims to support operators’ attention and direction during accidents in NPPs using a Neuro-Fuzzy approach for event’s identification forecast. ANNs are used to perform this task. After the NN has done the event type identification, a fuzzy-logic system analyzes the results giving a reliability level of that. The results have shown the system is capable to help the operators to direct their attention and narrow their information search field in the noisy background of the operation during accident situations in nuclear power plants. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015 |
dc.date.accessioned.fl_str_mv |
2017-05-17T15:28:07Z |
dc.date.available.fl_str_mv |
2017-05-17T15:28:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
status_str |
publishedVersion |
format |
article |
dc.identifier.uri.fl_str_mv |
http://carpedien.ien.gov.br:8080/handle/ien/1836 |
url |
http://carpedien.ien.gov.br:8080/handle/ien/1836 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Instituto de Engenharia Nuclear |
dc.publisher.initials.fl_str_mv |
IEN |
dc.publisher.country.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Instituto de Engenharia Nuclear |
dc.source.none.fl_str_mv |
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Repositório Institucional do IEN |
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Instituto de Engenharia Nuclear |
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IEN |
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IEN |
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