Data fusion can be utilized to enhance the reliability of testing through the integration of various non-destructive evaluation methods. This technique involves processing and analyzing data from multiple sources, combining them to enhance signals, reduce uncertainty, and improve evaluation outcomes.
The objective of data fusion approach is to enhance the reliability of the inspection techniques. Advanced data processing techniques can be developed for this purpose, including validation, verification, and defect sizing.
The fusion of data from different non-destructive methods can significantly improve evaluation results and increase the overall reliability of non-destructive testing.