Defect Detection And Noise Reduction Using Optimized Wavelet Thresholding And Matched Filtering For An Ultrasonic System
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Defect Detection and Noise Reduction Using Optimized Wavelet Thresholding and Matched Filtering for an Ultrasonic System
Defects can be non-invasively located in subterranean gas pipes by exciting the pipe with an ultrasonic pulse and collecting reflected energy. Generally, the detected signal is indicative of a defect if it contains a reflected version of the original ultrasonic pulse; however, observation of collected data shows that the pulse is continuously reflected even in the absence of a defect. This results in in-band noise and severely limits the performance of traditional filtering techniques. Therefore, the effectiveness of matched filtering and wavelet thresholding as means to isolate defect reflections from reflected noise are analyzed using a data set collected from an actual ultrasonic defect detection system.
Ultrasonic Nondestructive Evaluation Systems
This book deals with a number of fundamental issues related to the practical implementation of ultrasonic NDT techniques in an industrial environment. The book discusses advanced academic research results and their application to industrial procedures. The text covers the choice and generation of the signals energizing the system to probe position optimization, from quality assessment evaluation to tomographic inversion. With a focus to deepen a number of fundamental aspects involved in the specific objective of designing and developing an ultrasonic imaging system for nondestructive testing, aimed to automatically classify the entire production of an industrial production line, targeted to the field of precision mechanics. The contents of this book is the result of the common effort of six University Research Groups that focused their research activities for two years on this specific objective, working in direct conjunction with primary industrial firms, in a research project funded by the Italian government as a Strategic Research Project.