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008 | 230503s2023 sz | s |||| 0|eng d | ||
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_a9783031299629 _9978-3-031-29962-9 |
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_aLi, He. _eauthor. _0(orcid)0000-0001-6429-9097 _1https://orcid.org/0000-0001-6429-9097 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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. |
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300 |
_aXIII, 148 p. 55 illus., 53 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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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 |
|
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_iPrinted edition: _z9783031299643 |
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_aStudies in Systems, Decision and Control, _x2198-4190 ; _v473 |
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