Edge blurring suppression of ultrasonic reflection coefficients in contact state measurement

Abstract

Ultrasonic reflection coefficient is the key to contact state evaluation of mechanical devices. Edge blurring can lead to contact state (such as stress concentrations) measurement errors. This reduces the reliability of performance evaluations and introduces potential security risks. In this study, an edge blurring suppression method based on matching pursuit algorithm was proposed. Firstly, the interference signal prediction model is built based on the Nakagami model. Then, a blurred signal separation algorithm based on matching pursuit is proposed to obtain the effective signal. Finally, the reflection coefficient with and without edge blurring effect were obtained. The simulation results show that the maximum relative error of the reflection coefficient is reduced from 219 % to 15 %. The effectiveness of the proposed method is also verified by experiments. The experimental results show that the relative error of the reflection coefficient after edge blurring suppression is reduced from 64 % to 16 %. This indicates that the proposed method can effectively suppress edge blurring, which provides an effective method for edge blurring suppression in various application fields of ultrasonic measurement and improve the reliability of product quality evaluation.