Application of Adaptive Fuzzy Filter in Ultrasonic Test System

Abstract

In order to avoid some shortcomings such as poor accuracy and low signal-to-noise ration, an ultrasonic test system based on automatic and intelligent testing are introduced. After ultrasonic signal is transmitted and received; data processing, data saving and curve displaying are performed in this test system. To solve the problem of extracting the weak ultrasonic signals from the strong noise, an adaptive filter based on least-mean-square (LMS) algorithm is designed. The convergence factor of the algorithm is chose according adaptive fuzzy control rule. Experimental results show that the filter can inhibit the noise and extract the weak signals more effectively. It also can improve the robustness, convergence speed and detecting accuracy.