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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