000 | 03447nam a22006135i 4500 | ||
---|---|---|---|
001 | 978-3-031-53514-7 | ||
003 | DE-He213 | ||
005 | 20250516160000.0 | ||
007 | cr nn 008mamaa | ||
008 | 240224s2024 sz | s |||| 0|eng d | ||
020 |
_a9783031535147 _9978-3-031-53514-7 |
||
050 | 4 | _aTS155-194 | |
072 | 7 |
_aKJMV5 _2bicssc |
|
072 | 7 |
_aBUS087000 _2bisacsh |
|
072 | 7 |
_aKJMV5 _2thema |
|
082 | 0 | 4 |
_a658.5 _223 |
100 | 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 |
|
245 | 1 | 0 |
_aAdvances in Computational Mathematics for Industrial System Reliability and Maintainability _h[electronic resource] / _cby Mohammad Yazdi. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
300 |
_aXIV, 190 p. 1 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Series in Reliability Engineering, _x2196-999X |
|
505 | 0 | _aIntroduction to Computational Mathematics in Industrial Systems -- Mathematical Models for Industrial System Reliability -- Maintenance Strategies and Optimization Techniques -- Computational Tools and Techniques for Reliability and Maintainability -- Reliability-Centered Design and System Resilience -- Integration of Computational Mathematics in Industrial Decision-Making -- Integration of IoT and Edge Computing in Industrial Systems -- Application of Quantum Computing in Reliability Analysis -- Digital Twins and Virtual Prototyping for Industrial Systems -- Augmented Reality (AR) and Virtual Reality (VR) in Maintenance Training -- Synthesizing Computational Mastery and Industrial Evolution - A Comprehensive. . | |
520 | _aThis book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems. With its careful blend of theoretical foundations, practical applications, and future perspectives, this book is a vital reference for researchers, engineers, and professionals seeking to optimize industrial systems' performance, efficiency, and resilience. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aProduction management. | |
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMathematical models. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aProduction. |
650 | 2 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aMathematical Modeling and Industrial Mathematics. |
650 | 2 | 4 | _aEngineering Mathematics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031535130 |
776 | 0 | 8 |
_iPrinted edition: _z9783031535154 |
776 | 0 | 8 |
_iPrinted edition: _z9783031535161 |
830 | 0 |
_aSpringer Series in Reliability Engineering, _x2196-999X |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-53514-7 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c274277 _d274276 |