Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /

Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /

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Non-Destructive Evaluation (NDE) is now playing an increasing role in our modern global economy; in security sensitive industries, for instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully- automated signal processing. This book deals with both fields of expertise: NDE and signal processing. On the signal processing side, in the particular context of NDE applications, the following topics are discussed: sensor fusion, signal knowledge representation, artificial intelligence, fuzzy logic, computer vision, integration of numeric and non-numeric informations, parallel decomposition, noise processing and calibration of sensor devices as well as reliability of detection. Some hardware considerations are introduced as well, to discuss platforms on which processing is done. On the NDE side, applications include advances in holographic interferometry, microwave resonance or shearography and also on more traditional NDE techniques such as ultrasonics, infrared techniques, X-ray, computed tomography, Eddy currents. Inverse problems are also discussed. This book is required reading for those who already have some experience in one or both fields (signal processing and/or NDE).

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Bibliographic Details
Main Authors: Maldague, X. P. V. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 1994
Subjects:Materials science., Software engineering., Artificial intelligence., Statistical physics., Dynamical systems., Materials Science., Characterization and Evaluation of Materials., Signal, Image and Speech Processing., Software Engineering/Programming and Operating Systems., Artificial Intelligence (incl. Robotics)., Statistical Physics, Dynamical Systems and Complexity.,
Online Access:http://dx.doi.org/10.1007/978-94-011-1056-3
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id KOHA-OAI-TEST:170362
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Materials science.
Software engineering.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Materials Science.
Characterization and Evaluation of Materials.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
Statistical Physics, Dynamical Systems and Complexity.
Materials science.
Software engineering.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Materials Science.
Characterization and Evaluation of Materials.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
Statistical Physics, Dynamical Systems and Complexity.
spellingShingle Materials science.
Software engineering.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Materials Science.
Characterization and Evaluation of Materials.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
Statistical Physics, Dynamical Systems and Complexity.
Materials science.
Software engineering.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Materials Science.
Characterization and Evaluation of Materials.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
Statistical Physics, Dynamical Systems and Complexity.
Maldague, X. P. V. editor.
SpringerLink (Online service)
Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
description Non-Destructive Evaluation (NDE) is now playing an increasing role in our modern global economy; in security sensitive industries, for instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully- automated signal processing. This book deals with both fields of expertise: NDE and signal processing. On the signal processing side, in the particular context of NDE applications, the following topics are discussed: sensor fusion, signal knowledge representation, artificial intelligence, fuzzy logic, computer vision, integration of numeric and non-numeric informations, parallel decomposition, noise processing and calibration of sensor devices as well as reliability of detection. Some hardware considerations are introduced as well, to discuss platforms on which processing is done. On the NDE side, applications include advances in holographic interferometry, microwave resonance or shearography and also on more traditional NDE techniques such as ultrasonics, infrared techniques, X-ray, computed tomography, Eddy currents. Inverse problems are also discussed. This book is required reading for those who already have some experience in one or both fields (signal processing and/or NDE).
format Texto
topic_facet Materials science.
Software engineering.
Artificial intelligence.
Statistical physics.
Dynamical systems.
Materials Science.
Characterization and Evaluation of Materials.
Signal, Image and Speech Processing.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence (incl. Robotics).
Statistical Physics, Dynamical Systems and Complexity.
author Maldague, X. P. V. editor.
SpringerLink (Online service)
author_facet Maldague, X. P. V. editor.
SpringerLink (Online service)
author_sort Maldague, X. P. V. editor.
title Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
title_short Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
title_full Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
title_fullStr Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
title_full_unstemmed Advances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] /
title_sort advances in signal processing for nondestructive evaluation of materials [electronic resource] /
publisher Dordrecht : Springer Netherlands : Imprint: Springer,
publishDate 1994
url http://dx.doi.org/10.1007/978-94-011-1056-3
work_keys_str_mv AT maldaguexpveditor advancesinsignalprocessingfornondestructiveevaluationofmaterialselectronicresource
AT springerlinkonlineservice advancesinsignalprocessingfornondestructiveevaluationofmaterialselectronicresource
_version_ 1756263305328984064
spelling KOHA-OAI-TEST:1703622018-07-30T22:47:04ZAdvances in Signal Processing for Nondestructive Evaluation of Materials [electronic resource] / Maldague, X. P. V. editor. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,1994.engNon-Destructive Evaluation (NDE) is now playing an increasing role in our modern global economy; in security sensitive industries, for instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully- automated signal processing. This book deals with both fields of expertise: NDE and signal processing. On the signal processing side, in the particular context of NDE applications, the following topics are discussed: sensor fusion, signal knowledge representation, artificial intelligence, fuzzy logic, computer vision, integration of numeric and non-numeric informations, parallel decomposition, noise processing and calibration of sensor devices as well as reliability of detection. Some hardware considerations are introduced as well, to discuss platforms on which processing is done. On the NDE side, applications include advances in holographic interferometry, microwave resonance or shearography and also on more traditional NDE techniques such as ultrasonics, infrared techniques, X-ray, computed tomography, Eddy currents. Inverse problems are also discussed. This book is required reading for those who already have some experience in one or both fields (signal processing and/or NDE).Signal extraction and conditionning -- 1 Intelligent Signal processing -- 2 Receiver operating characteristic (ROC) in nondestructive inspection -- 3 Compensation of ultrasonic transducers response by adapting excitation signals, application to defects evaluation -- 4 Statistical method to evaluate the amplitude of cyclical noisy signal in IR thermography -- 5 Quasi frequency diversity processing of ultrasonic signals — A review -- On algorithm formulations -- 6 Specific features of NDT data and processing algorithms: New remedies to old ills -- 7 Edge detectors using greco-latin squares -- 8 Digital image processing in holographic Nondestructive testing (HNDT) -- 9 Design of morphological processors for ultrasonic NDE of Materials — A review -- 10 Materials NDE by non linear filtering applying heat transfer models -- 11 The influence of image digitisation and calibration of a scanning system upon weld inspection -- 12 New developments in the detection of defects by photothermal thermography -- Direct and inverse problems -- 13 Advances in signal inversion with applications to infrared thermography (Keynote lecture) -- 14 Use of finite-difference method for predicting propagation of ultrasonic waves in solids (abstract only) -- Signal processing in thermal NDE -- 15 Inverse scattering of pulsed thermal waves -- 16 Informative parameters and noise in transient thermal NDT -- 17 On methods for shape correction and reconstruction in thermographic NDE -- Artificial Intelligence -- 18 Use of neural networks and expert systems for evaluation -- 19 Applications of artificial intelligence in nondestructive evaluation -- 20 Fuzzy min-max neural network based classification of underwater layered media due to attenuation effects -- 21 Wavelet transform based transient detection -- Applications to emerging NDE techniques -- 22 The role of modeling in the determination of probability of detection -- 23 Early detection by stimulated infrared thermography. Comparison with ultrasonics and holo/shearography -- 24 Combination of FEM and HI for NDE purposes -- 25 Processing suited to in-the-field applications of NDT -- 26 Imaging of magnetic properties using photothermal techniques in microwave resonance (abstract only) -- Applications to established NDE techniques -- 27 Limited view computed tomography in nuclear inspection (abstract only) -- 28 Development of vision tools for welding applications -- 29 A novel technique for defects classification from their ultrasonic pulse echoes -- 30 Characterization of advanced composite materials by X-Ray Compton scattering -- 31 Steel sheet surface quality monitoring by multiple spectral reflectance signal processing -- Hardware implementations -- 32 Integrated hardware implementations for digital systems (abstract only) -- 33 Parallelization of the synthetic aperture focusing technique for ultrasonic testing -- 34 Applications of high resolution inversion to ultrasonic imaging of multi-layered structures -- Special presentations -- 35 The European project TRAPPIST: transfer, processing and interpretation of 3D NDT data in a standard environment (panel discussion) -- 36 Optics and Information Processing at National Optics Institute: a good match for NDE (banquet abstract only) -- 37 Non-invasive measurement of temperature changes in tethered flying blowflies by thermal imaging -- 38 Substituting statistical for physical decomposition: are there applications for parallel factor analysis (PARAFAC) in NDE? -- List of participants.Non-Destructive Evaluation (NDE) is now playing an increasing role in our modern global economy; in security sensitive industries, for instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully- automated signal processing. This book deals with both fields of expertise: NDE and signal processing. On the signal processing side, in the particular context of NDE applications, the following topics are discussed: sensor fusion, signal knowledge representation, artificial intelligence, fuzzy logic, computer vision, integration of numeric and non-numeric informations, parallel decomposition, noise processing and calibration of sensor devices as well as reliability of detection. Some hardware considerations are introduced as well, to discuss platforms on which processing is done. On the NDE side, applications include advances in holographic interferometry, microwave resonance or shearography and also on more traditional NDE techniques such as ultrasonics, infrared techniques, X-ray, computed tomography, Eddy currents. Inverse problems are also discussed. This book is required reading for those who already have some experience in one or both fields (signal processing and/or NDE).Materials science.Software engineering.Artificial intelligence.Statistical physics.Dynamical systems.Materials Science.Characterization and Evaluation of Materials.Signal, Image and Speech Processing.Software Engineering/Programming and Operating Systems.Artificial Intelligence (incl. Robotics).Statistical Physics, Dynamical Systems and Complexity.Springer eBookshttp://dx.doi.org/10.1007/978-94-011-1056-3URN:ISBN:9789401110563

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