Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components

Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721262496
Category :
Languages : en
Pages : 30

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Book Description
A neural-net inspection process has been combined with a bootstrap training procedure and electronic holography to detect changes or damage in a pressure-cycled International Space Station cold plate to be used for cooling instrumentation. The cold plate was excited to vibrate in a normal mode at low amplitude, and the neural net was trained by example to flag small changes in the mode shape. The NDE (nondestructive-evaluation) technique is straightforward but in its infancy; its applications are ad-hoc and uncalibrated. Nevertheless previous research has shown that the neural net can detect displacement changes to better than 1/100 the maximum displacement amplitude. Development efforts that support the NDE technique are mentioned briefly, followed by descriptions of electronic holography and neural-net processing. The bootstrap training procedure and its application to detection of damage in a pressure-cycled cold plate are discussed. Suggestions for calibrating and quantifying the NDE procedure are presented. Decker, A. J. Glenn Research Center NASA/TM-2001-210812, E-12727, NAS 1.15:210812

Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components

Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721262496
Category :
Languages : en
Pages : 30

Get Book Here

Book Description
A neural-net inspection process has been combined with a bootstrap training procedure and electronic holography to detect changes or damage in a pressure-cycled International Space Station cold plate to be used for cooling instrumentation. The cold plate was excited to vibrate in a normal mode at low amplitude, and the neural net was trained by example to flag small changes in the mode shape. The NDE (nondestructive-evaluation) technique is straightforward but in its infancy; its applications are ad-hoc and uncalibrated. Nevertheless previous research has shown that the neural net can detect displacement changes to better than 1/100 the maximum displacement amplitude. Development efforts that support the NDE technique are mentioned briefly, followed by descriptions of electronic holography and neural-net processing. The bootstrap training procedure and its application to detection of damage in a pressure-cycled cold plate are discussed. Suggestions for calibrating and quantifying the NDE procedure are presented. Decker, A. J. Glenn Research Center NASA/TM-2001-210812, E-12727, NAS 1.15:210812

Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components

Neural-net processed characteristic patterns for measurement of structural integrity of pressure cycled components PDF Author: Arthur John Decker
Publisher:
ISBN:
Category :
Languages : en
Pages : 11

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Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components

Neural-Net Processed Characteristic Patterns for Measurement of Structural Integrity of Pressure Cycled Components PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Book Description


Optical Metrology for Fluids, Combustion and Solids

Optical Metrology for Fluids, Combustion and Solids PDF Author: Carolyn Mercer
Publisher: Springer Science & Business Media
ISBN: 1475737777
Category : Science
Languages : en
Pages : 468

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Book Description
Optical Metrology for Fluids, Combustion and Solids is the first practical handbook that presents the assemblage of the techniques necessary to provide a basic understanding of optical measurement for fluids, combustion, and solids. The use of light as a measurement tool has grown over the past twenty years from a narrowly specialized activity to a mainstay of modern research today. Until recently, the knowledge that could be extracted from the light interaction of light with physical objects was limited to specialized activities. The invention of the laser, the computer and microelectronics has enabled a measurement revolution such that virtually every parameter of engineering interest can be measured using the minimally intrusive properties of light. The authors of this book's chapters are leaders in this revolution. They work on the front lines of research in government, industry, and universities, inventing yet more ways to harness the power of light for the generation of knowledge.

Neural-Net Processed Electronic Holography for Rotating Machines

Neural-Net Processed Electronic Holography for Rotating Machines PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 74

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Neural-Net Based Optical NDE Method for Structural Health Monitoring

Neural-Net Based Optical NDE Method for Structural Health Monitoring PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Optical Diagnostics for Fluids, Solids, and Combustion

Optical Diagnostics for Fluids, Solids, and Combustion PDF Author:
Publisher:
ISBN:
Category : Flow visualization
Languages : en
Pages : 290

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Damage Detection Using Holography and Interferometry

Damage Detection Using Holography and Interferometry PDF Author: Arthur J. Decker
Publisher:
ISBN:
Category :
Languages : en
Pages : 34

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Monthly Catalog of United States Government Publications

Monthly Catalog of United States Government Publications PDF Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 882

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Artificial Neural Networks

Artificial Neural Networks PDF Author: Ivan Nunes da Silva
Publisher: Springer
ISBN: 3319431625
Category : Technology & Engineering
Languages : en
Pages : 309

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Book Description
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.