| 000 | 03122nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-0-85729-907-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251006084447.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110706s2011 xxk| s |||| 0|eng d | ||
| 020 | _a9780857299079 | ||
| 020 | _a99780857299079 | ||
| 024 | 7 |
_a10.1007/978-0-85729-907-9 _2doi |
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| 082 | 0 | 4 |
_a620.1 _223 |
| 100 | 1 |
_aPawar, Prashant M. _eauthor. |
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| 245 | 1 | 0 |
_aStructural Health Monitoring Using Genetic Fuzzy Systems _h[electronic resource] / _cby Prashant M. Pawar, Ranjan Ganguli. |
| 264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2011. |
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| 300 |
_aVIII, 130p. 39 illus., 1 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- Genetic Fuzzy Systems -- SHM of Beams -- SHM of Composite Beams -- SHM of Helicopter Rotors. | |
| 520 | _aStructural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: • SHM of beams; • SHM of composite tubes; and • SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structural components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems. | ||
| 650 | 0 | _aENGINEERING. | |
| 650 | 0 | _aENGINEERING MATHEMATICS. | |
| 650 | 0 | _aMECHANICAL ENGINEERING. | |
| 650 | 0 | _aASTRONAUTICS. | |
| 650 | 0 | _aCIVIL ENGINEERING. | |
| 650 | 0 | _aBUILDING CONSTRUCTION. | |
| 650 | 1 | 4 | _aENGINEERING. |
| 650 | 2 | 4 | _aSTRUCTURAL MECHANICS. |
| 650 | 2 | 4 | _aSIGNAL, IMAGE AND SPEECH PROCESSING. |
| 650 | 2 | 4 | _aAEROSPACE TECHNOLOGY AND ASTRONAUTICS. |
| 650 | 2 | 4 | _aBUILDING REPAIR AND MAINTENANCE. |
| 650 | 2 | 4 | _aCIVIL ENGINEERING. |
| 650 | 2 | 4 | _aAPPL.MATHEMATICS/COMPUTATIONAL METHODS OF ENGINEERING. |
| 700 | 1 |
_aGanguli, Ranjan. _eauthor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780857299062 |
| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/978-0-85729-907-9 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-ENG | ||
| 942 |
_2ddc _cER |
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_c60163 _d60163 |
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