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Bayesian networks in fault diagnosis: practice and application

Detalles Bibliográficos
Autores principales: Cai, Baoping, Liu, Yonghong, Hu, Jinqiu, Liu, Zengkai, Wu, Shengnan, Ji, Renjie
Lenguaje:eng
Publicado: World Scientific 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2654497
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author Cai, Baoping
Liu, Yonghong
Hu, Jinqiu
Liu, Zengkai
Wu, Shengnan
Ji, Renjie
author_facet Cai, Baoping
Liu, Yonghong
Hu, Jinqiu
Liu, Zengkai
Wu, Shengnan
Ji, Renjie
author_sort Cai, Baoping
collection CERN
id cern-2654497
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher World Scientific
record_format invenio
spelling cern-26544972021-04-21T18:36:53Zhttp://cds.cern.ch/record/2654497engCai, BaopingLiu, YonghongHu, JinqiuLiu, ZengkaiWu, ShengnanJi, RenjieBayesian networks in fault diagnosis: practice and applicationMathematical Physics and MathematicsWorld Scientificoai:cds.cern.ch:26544972019
spellingShingle Mathematical Physics and Mathematics
Cai, Baoping
Liu, Yonghong
Hu, Jinqiu
Liu, Zengkai
Wu, Shengnan
Ji, Renjie
Bayesian networks in fault diagnosis: practice and application
title Bayesian networks in fault diagnosis: practice and application
title_full Bayesian networks in fault diagnosis: practice and application
title_fullStr Bayesian networks in fault diagnosis: practice and application
title_full_unstemmed Bayesian networks in fault diagnosis: practice and application
title_short Bayesian networks in fault diagnosis: practice and application
title_sort bayesian networks in fault diagnosis: practice and application
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2654497
work_keys_str_mv AT caibaoping bayesiannetworksinfaultdiagnosispracticeandapplication
AT liuyonghong bayesiannetworksinfaultdiagnosispracticeandapplication
AT hujinqiu bayesiannetworksinfaultdiagnosispracticeandapplication
AT liuzengkai bayesiannetworksinfaultdiagnosispracticeandapplication
AT wushengnan bayesiannetworksinfaultdiagnosispracticeandapplication
AT jirenjie bayesiannetworksinfaultdiagnosispracticeandapplication