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Fb2 Applications of NDT Data Fusion ePub

by Xavier E. Gros

Category: Computer Science
Subcategory: Technologies and Computers
Author: Xavier E. Gros
ISBN: 0792374126
ISBN13: 978-0792374121
Language: English
Publisher: Springer; 2001 edition (July 31, 2001)
Pages: 277
Fb2 eBook: 1897 kb
ePub eBook: 1116 kb
Digital formats: azw lrf mbr mobi

Non-destructive testing (NDT) systems can generate incomplete . price for USA in USD (gross). An Roc Approach to NDT Data Fusion. Pixel Level NDT Data Fusion.

Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. ISBN 978-1-4615-1411-4. Fuzzy Logic Data Fusion for Condition Monitoring.

Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies.

Non-destructive testing (NDT) systems can generate incomplete, incorrect or. .Springer Science & Business Media, 27 нояб. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. Format Hardback 277 pages.

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.

Автор: Gros Xavier E. Название: Applications of NDT Data Fusion Издательство: Springer Классификация .

This book gathers, for the first time, essays from leading NDT experts involved in data fusion.

Data fusion will combine the signals from a range of NDT sensors to provide a more complete picture and . oceedings{Edwards1993FusionON, title {Fusion of NDT data}, author {Ivo Edwards and Xavier E. Gros and D. W. Lowden and Paul Strachan}, year {1993} }.

Because analysis of NDT signals is sometimes ambiguous for an untrained operator, this can lead to misinterpretation. The development of a data fusion system which will reduce potential error by'displaying a real 3-D image of a defect, instead of an analog signal only, is very attractive.

Non-destructive testing (NDT) systems can generate incomplete . In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections.

Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections. This gathering of data from multiple sources and an efficient processing of information help in decision making, reduce signal uncertainty and increase the overall performance of a non-destructive examination. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. It explores the concept of data fusion by providing a comprehensive review and analysis of the applications of NDT data fusion. This publication concentrates on NDT data fusion for industrial applications and highlights progress and applications in the field of data fusion in areas ranging from materials testing in the aerospace industry to medical applications. Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies.
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