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RISDevelopment of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Neural network technology is applied to the detection of a pipe wall thinning (PWT) in a pipe using a microwave signal reflection as an input. The location, depth, length, and profile geometry of the PWT are predicted by ...
Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Research using microwaves (MWs) to detect pipe wall thinning (PWT) distinguishes the presence of wall thinning, but does not accurately locate the discontinuities. Ultrasonic testing (UT) is capable of accurately locating ...