000 04691nam a22005895i 4500
001 978-3-031-29962-9
003 DE-He213
005 20240207153448.0
007 cr nn 008mamaa
008 230503s2023 sz | s |||| 0|eng d
020 _a9783031299629
_9978-3-031-29962-9
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aLi, He.
_eauthor.
_0(orcid)0000-0001-6429-9097
_1https://orcid.org/0000-0001-6429-9097
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntelligent Reliability and Maintainability of Energy Infrastructure Assets
_h[electronic resource] /
_cby He Li, Weiwen Peng, Sidum Adumene, Mohammad Yazdi.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXIII, 148 p. 55 illus., 53 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v473
500 _aAcceso multiusuario
505 0 _aAdvances in Intelligent Reliability and Maintainability of Energy Infrastructure Assets -- Cutting Edge Research Topics on System Safety, Reliability, Maintainability, and Resilience of Energy-critical Infrastructures -- Operation management of critical energy infrastructure: A sustainable approach -- An improved LeNet-5 convolutional neural network supporting condition-based maintenance and fault diagnosis of bearings -- Using Global Average Pooling Convolutional Siamese Networks for fault diagnosis of planetary gearboxes -- Advances in failure prediction of subsea components considering complex dependencies -- An intelligent cost-based consequence model for the offshore system in harsh environments -- A Sustainable Circular Economy in Energy Infrastructure: Application of Supercritical Water Gasification System -- Attention towards Energy infrastructures, Challenges and Solutions.
520 _aThis book reviews and presents several advanced approaches to energy infrastructure assets' intelligent reliability and maintainability. Each introduced model provides case studies indicating high efficiency, robustness, and applicability, allowing readers to utilize them in their understudy intelligent reliability and maintainability of energy infrastructure assets domains. The book begins by reviewing the state-of-the-art research on the reliability and maintainability of energy infrastructure assets and emphasizes the intelligent tools and methods proposed from a bibliometric and literature review point of view. It then progresses logically, dedicating a chapter to each approach, dynamic Bayesian modeling network, convolutional neural network model, global average pooling-based convolutional Siamese network, an integrated probabilistic model for the failure consequence assessment, and more. This book interests professionals and researchers working in reliability and maintainability and postgraduate and undergraduate students studying intelligent reliability applications and energy infrastructure assets' maintainability.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aComputational Intelligence.
650 2 4 _aIndustrial and Production Engineering.
700 1 _aPeng, Weiwen.
_eauthor.
_0(orcid)0000-0001-9535-9187
_1https://orcid.org/0000-0001-9535-9187
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aAdumene, Sidum.
_eauthor.
_0(orcid)0000-0003-4095-467X
_1https://orcid.org/0000-0003-4095-467X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aYazdi, Mohammad.
_eauthor.
_0(orcid)0000-0002-6714-5285
_1https://orcid.org/0000-0002-6714-5285
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031299612
776 0 8 _iPrinted edition:
_z9783031299636
776 0 8 _iPrinted edition:
_z9783031299643
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v473
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-29962-9
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c260418
_d260417