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| 003 | ES-MaUEC | ||
| 005 | 20230102114622.0 | ||
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| 008 | 210303s2021 gw | s |||| 0|eng d | ||
| 020 | _a9783030670559 | ||
| 024 | 7 |
_a10.1007/978-3-030-67055-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC |
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| 050 | 4 |
_aTJ213 _b2021 EB |
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| 100 | 1 |
_aBožek, Pavol _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9677881 |
|
| 245 | 1 | 0 |
_aDiagnostics of Mechatronic Systems _cby Pavol Božek, Yuri Nikitin, Tibor Krenicky. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Pulishing _c2021 |
|
| 300 |
_a1 recurso en línea (XV, 79 páginas) _b43 ilustraciones, 27 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2 |
||
| 490 | 0 |
_aStudies in Systems Decision and Control _x2198-4182 _v345 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aThe basics characteristics of elements reliability -- Methods, models, algorithms for diagnostics of mechatronic systems -- Model systems for diagnosticing of mechatronic objects -- Appendix. | |
| 520 | 3 | _aThis book provides novel approach to the diagnosis of complex technical systems that are widely used in various kinds of transportation, energy, metallurgy, metalworking, fuels, mining, chemical, paper industries, etc. Effective diagnostic systems are necessary for the early detection of errors in mechatronic systems, for the organization of maintenance and for the assessment of the performed service quality. Unfortunately, the practical use of AI in the diagnosis of mechatronic systems is still quite limited and the inability to build effective mechatronic systems leads to significant economic losses and dangers. The main aim of this book is to contribute to knowledge within the topic of diagnostics of mechatronic systems by the analysis of the elements reliability characteristics, using methods, models and algorithms for diagnostics and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _9496877 _aMecatrónica |
|
| 650 | 7 |
_2embne _9165250 _aComplejidad computacional |
|
| 700 | 1 |
_aNikitin, Yuri _eautor _4http://id.loc.gov/vocabulary/relators/aut _9677882 |
|
| 700 | 1 |
_aKrenicky, Tibor _eautor _4http://id.loc.gov/vocabulary/relators/aut _9670572 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030670542 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030670566 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030670573 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67055-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b03/2021 _dz _eIG _zSI |
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