In non destructive testing applications, the typical ill conditioning of the underlaying inverse problem, combined with possible poor accuracy in measurements, can lead to quite low reliability estimates for the desired output. While regularization techniques can help to improve the data processing step, a careful optimization of the excitation and measurement systems reveals critical to improve the overall testing process performance. In this paper, the design of testing system will be formulated by introducing suitable “quality” functions and formulation in terms of Multi-Objective Optimization Problem (MOOP). Some test cases are analyzed to demonstrate possible improvements coming from the optimization of the measurements “quality”.
OPTIMIZED DESIGN OF MEASUREMENT SYSTEMS FOR NON DESTRUCTIVE TESTING APPLICATIONS
FORMISANO, Alessandro;MARTONE, Raffaele;
2007
Abstract
In non destructive testing applications, the typical ill conditioning of the underlaying inverse problem, combined with possible poor accuracy in measurements, can lead to quite low reliability estimates for the desired output. While regularization techniques can help to improve the data processing step, a careful optimization of the excitation and measurement systems reveals critical to improve the overall testing process performance. In this paper, the design of testing system will be formulated by introducing suitable “quality” functions and formulation in terms of Multi-Objective Optimization Problem (MOOP). Some test cases are analyzed to demonstrate possible improvements coming from the optimization of the measurements “quality”.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
