Application of Adaptive Fuzzy Filter in Ultrasonic Test System

Bei Tao Guo

doi:10.4028/www.scientific.net/AMR.712-715.1970

Paper Titles

An Improved Faults Diagnosis Strategy of Analog Circuit Online Using Kernel Fuzzy C-Means for the Unknown Fault
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Improved Method for State of Charge Estimation of Lithium Iron Phosphate Power Batteries
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Ballistic Measurement and Parameter Estimation of Ballistic Missile with Early Warning Satellite
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Tolerance Analog Circuit Hard Fault and Soft Fault Diagnosis Based on Particle Swarm Neural Network
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Application of Adaptive Fuzzy Filter in Ultrasonic Test System
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Analysis of Uncertainty in Standard Metal Tank Volume Verification with Monte Carlo Method
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Research on Tooth Profile Deviations Measurement Method Based on the Optical Image Measuring Instrument
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Summarize and Research on the Data Acquisition of Drilling Rig Hydraulic System
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Research on the High-Precision Phase Simulation of DSSS Signal
p.1987

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Application of Adaptive Fuzzy Filter in Ultrasonic...

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.