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001467842 001__ 1467842
001467842 003__ OCoLC
001467842 005__ 20230707003342.0
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001467842 008__ 230511s2023\\\\sz\a\\\\ob\\\\000\0\eng\d
001467842 019__ $$a1378299583$$a1378392233
001467842 020__ $$a9783031299629$$q(electronic bk.)
001467842 020__ $$a3031299620$$q(electronic bk.)
001467842 020__ $$z9783031299612
001467842 020__ $$z3031299612
001467842 0247_ $$a10.1007/978-3-031-29962-9$$2doi
001467842 035__ $$aSP(OCoLC)1378770998
001467842 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX
001467842 049__ $$aISEA
001467842 050_4 $$aTK1005
001467842 08204 $$a621.31/04$$223/eng/20230511
001467842 1001_ $$aLi, He,$$eauthor.$$0(orcid)0000-0001-6429-9097$$1https://orcid.org/0000-0001-6429-9097
001467842 24510 $$aIntelligent reliability and maintainability of energy infrastructure assets /$$cHe Li, Weiwen Peng, Sidum Adumene, Mohammad Yazdi.
001467842 264_1 $$aCham :$$bSpringer,$$c2023.
001467842 300__ $$a1 online resource (xiii, 148 pages) :$$billustrations (some color).
001467842 336__ $$atext$$btxt$$2rdacontent
001467842 337__ $$acomputer$$bc$$2rdamedia
001467842 338__ $$aonline resource$$bcr$$2rdacarrier
001467842 4901_ $$aStudies in systems, decision and control,$$x2198-4190 ;$$vvolume 473
001467842 504__ $$aIncludes bibliographical references.
001467842 5050_ $$aAdvances in Intelligent Reliability and Maintainability of Energy Infrastructure Assets -- Cutting Edge Research Topics on System Safety, Reliability, Maintainability, and Resilience of Energy-critical Infrastructures -- Operation management of critical energy infrastructure: A sustainable approach -- An improved LeNet-5 convolutional neural network supporting condition-based maintenance and fault diagnosis of bearings -- Using Global Average Pooling Convolutional Siamese Networks for fault diagnosis of planetary gearboxes -- Advances in failure prediction of subsea components considering complex dependencies -- An intelligent cost-based consequence model for the offshore system in harsh environments -- A Sustainable Circular Economy in Energy Infrastructure: Application of Supercritical Water Gasification System -- Attention towards Energy infrastructures, Challenges and Solutions.
001467842 506__ $$aAccess limited to authorized users.
001467842 520__ $$aThis book reviews and presents several advanced approaches to energy infrastructure assets' intelligent reliability and maintainability. Each introduced model provides case studies indicating high efficiency, robustness, and applicability, allowing readers to utilize them in their understudy intelligent reliability and maintainability of energy infrastructure assets domains. The book begins by reviewing the state-of-the-art research on the reliability and maintainability of energy infrastructure assets and emphasizes the intelligent tools and methods proposed from a bibliometric and literature review point of view. It then progresses logically, dedicating a chapter to each approach, dynamic Bayesian modeling network, convolutional neural network model, global average pooling-based convolutional Siamese network, an integrated probabilistic model for the failure consequence assessment, and more. This book interests professionals and researchers working in reliability and maintainability and postgraduate and undergraduate students studying intelligent reliability applications and energy infrastructure assets' maintainability.
001467842 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 11, 2023).
001467842 650_0 $$aElectric power systems$$xReliability$$xData processing.
001467842 650_0 $$aArtificial intelligence$$xIndustrial applications.
001467842 655_0 $$aElectronic books.
001467842 7001_ $$aPeng, Weiwen,$$eauthor.$$0(orcid)0000-0001-9535-9187$$1https://orcid.org/0000-0001-9535-9187
001467842 7001_ $$aAdumene, Sidum,$$eauthor.$$0(orcid)0000-0003-4095-467X$$1https://orcid.org/0000-0003-4095-467X
001467842 7001_ $$aYazdi, Mohammad,$$eauthor.$$1https://orcid.org/0000-0002-6714-5285
001467842 77608 $$iPrint version:$$aLi, He$$tIntelligent Reliability and Maintainability of Energy Infrastructure Assets$$dCham : Springer International Publishing AG,c2023$$z9783031299612
001467842 830_0 $$aStudies in systems, decision and control ;$$vv. 473.$$x2198-4190
001467842 852__ $$bebk
001467842 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29962-9$$zOnline Access$$91397441.1
001467842 909CO $$ooai:library.usi.edu:1467842$$pGLOBAL_SET
001467842 980__ $$aBIB
001467842 980__ $$aEBOOK
001467842 982__ $$aEbook
001467842 983__ $$aOnline
001467842 994__ $$a92$$bISE