NDT Data Fusion

1st Edition

Authors: Xavier Gros
Hardcover ISBN: 9780340676486
eBook ISBN: 9780080524047
Imprint: Butterworth-Heinemann
Published Date: 1st November 1996
Page Count: 205
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Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive Testing) sensors to provide a more complete and understandable picture of structural integrity. This text is the first to be devoted exclusively to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the author presents an excellent introduction to data fusion processes. Problems are approached progressively through detailed case studies, offering practical guidance for those wishing to develop and explore NDT data fusion further.

This book will prove invaluable to inspectors, students and researchers concerned with NDT signal processing measurements and testing. It shows the great value and major benefits which can be achieved by implementing multisensor data fusion, not only in NDT but also in any discipline where measurements and testing are key activities.


Postgraduates specialising in NDT - engineering and materials scientists. Researchers and practising scientists in the NDT field. Also of interest to signal processing technicians

Table of Contents

Introduction Data Fusion - A Review Non-detructive testing techniques Scientific visualisation A Bayesian statistical inference appraoch to the non-destructive testing of composite materials Application of NDT Data Fusion to weld inspection Perspectives of NDT Data Fusion


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© Butterworth-Heinemann 1996
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Hardcover ISBN:

About the Author

Xavier Gros

Affiliations and Expertise

Independent NDT Centre, France


"A very useful and interesting book containing many suggestions for data fusion which can form the basis of further study... contains very complete reference sections at the end of each chapter... I would certainly recommend this book to engineers and scientists interested in applying data fusion methods to NDT." --Insight