Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721185610
Category :
Languages : en
Pages : 32
Book Description
Finite-element-model-trained artificial neural networks can be used to process efficiently the characteristic patterns or mode shapes from electronic holograms of vibrating blades. The models used for routine design may not yet be sufficiently accurate for this application. This document discusses the creation of characteristic patterns; compares model generated and experimental characteristic patterns; and discusses the neural networks that transform the characteristic patterns into strain or damage information. The current potential to adapt electronic holography to spin rigs, wind tunnels and engines provides an incentive to have accurate finite element models lor training neural networks. Decker, Arthur J. Glenn Research Center NASA/TM-1999-209195, NAS 1.15:209195, E-11710
Neural-Net Processing of Characteristic Patterns from Electronic Holograms of Vibrating Blades
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721185610
Category :
Languages : en
Pages : 32
Book Description
Finite-element-model-trained artificial neural networks can be used to process efficiently the characteristic patterns or mode shapes from electronic holograms of vibrating blades. The models used for routine design may not yet be sufficiently accurate for this application. This document discusses the creation of characteristic patterns; compares model generated and experimental characteristic patterns; and discusses the neural networks that transform the characteristic patterns into strain or damage information. The current potential to adapt electronic holography to spin rigs, wind tunnels and engines provides an incentive to have accurate finite element models lor training neural networks. Decker, Arthur J. Glenn Research Center NASA/TM-1999-209195, NAS 1.15:209195, E-11710
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721185610
Category :
Languages : en
Pages : 32
Book Description
Finite-element-model-trained artificial neural networks can be used to process efficiently the characteristic patterns or mode shapes from electronic holograms of vibrating blades. The models used for routine design may not yet be sufficiently accurate for this application. This document discusses the creation of characteristic patterns; compares model generated and experimental characteristic patterns; and discusses the neural networks that transform the characteristic patterns into strain or damage information. The current potential to adapt electronic holography to spin rigs, wind tunnels and engines provides an incentive to have accurate finite element models lor training neural networks. Decker, Arthur J. Glenn Research Center NASA/TM-1999-209195, NAS 1.15:209195, E-11710
Neural-Net Processing of Characteristic Patterns From Electronic Holograms of Vibrating Blades
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20
Book Description
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Research & Technology 2000
Author:
Publisher: DIANE Publishing
ISBN: 1428918221
Category :
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Pages : 211
Book Description
Publisher: DIANE Publishing
ISBN: 1428918221
Category :
Languages : en
Pages : 211
Book Description
Monthly Catalog of United States Government Publications
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Languages : en
Pages : 768
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Research & Technology 1997
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ISBN: 1428918256
Category :
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Book Description
Publisher: DIANE Publishing
ISBN: 1428918256
Category :
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Pages : 190
Book Description
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Author: Yoseph Bar-Cohen
Publisher:
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Category : Technology & Engineering
Languages : en
Pages : 506
Book Description
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ISBN:
Category : Technology & Engineering
Languages : en
Pages : 506
Book Description
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Author:
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Languages : en
Pages : 786
Book Description
Publisher:
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Languages : en
Pages : 786
Book Description