000 | 03707nam a22005655i 4500 | ||
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001 | 978-3-319-54109-9 | ||
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007 | cr nn 008mamaa | ||
008 | 170321s2017 sz | s |||| 0|eng d | ||
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_a9783319541099 _9978-3-319-54109-9 |
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_a10.1007/978-3-319-54109-9 _2doi |
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_aStructural Health Monitoring & Damage Detection, Volume 7 _h[electronic resource] : _bProceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017 / _cedited by Christopher Niezrecki. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aVII, 97 p. 84 illus., 67 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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337 |
_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 |
_aConference Proceedings of the Society for Experimental Mechanics Series, _x2191-5652 |
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505 | 0 | _aChapter 1.Exploiting Spatial Sparsity in Vibration-based Damage Detection -- Chapter 2.Multi-Source Sensing and Analysis for Machine-Array Condition Monitoring -- Chapter 3.Wavelet Transform-Based Damage Detection in Reinforced Concrete Using an Air-Coupled Impact-Echo Method -- Chapter 4. Damage Detection Based on Strain Transmissibility for Beam Structure by Using Distributed Fiber Optics -- Chapter 5.Modal Parameters Estimation of an Offshore Wind Turbine Using Measured Acceleration Signals from the Drive Train -- Chapter 6.Structural Damage Detection in Real-Time: Implementation of 1D Convolutional Neural Networks for SHM Applications -- Chapter 7.Monitoring the Health of a Cantilever Beam Using Nonlinear Modal Tracking -- Chapter 8.Using Modal Parameters for Structural Health Monitoring -- Chapter 9.Current Challenges with BIGDATA Analytics in Structural Health Monitoring -- Chapter 10.Detection of Cracks in Beams Using Treed Gaussian Processes. | |
520 | _aStructural Health Monitoring & Damage Detection, Volume 7: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the seventh volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Health Monitoring & Damage Detection, including papers on: Structural Health Monitoring Damage Detection System Identification Active Controls. | ||
650 | 0 |
_aBuildingsāRepair and reconstruction. _931880 |
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650 | 0 |
_aBuildingsāMaintenance. _931881 |
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650 | 0 |
_aAcoustical engineering. _99499 |
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650 | 0 |
_aMechanics, Applied. _93253 |
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650 | 0 |
_aSolids. _93750 |
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650 | 1 | 4 |
_aBuilding Repair and Maintenance. _931885 |
650 | 2 | 4 |
_aEngineering Acoustics. _931982 |
650 | 2 | 4 |
_aSolid Mechanics. _931612 |
700 | 1 |
_aNiezrecki, Christopher. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _962214 |
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710 | 2 |
_aSpringerLink (Online service) _962215 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319541082 |
776 | 0 | 8 |
_iPrinted edition: _z9783319541105 |
776 | 0 | 8 |
_iPrinted edition: _z9783319853208 |
830 | 0 |
_aConference Proceedings of the Society for Experimental Mechanics Series, _x2191-5652 _962216 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-54109-9 |
912 | _aZDB-2-ENG | ||
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