小波分析在钢丝绳无损检测中的应用

Application of wavelet analysis for nondestructive testing of wire ropes

目前钢丝绳无损检测中对断丝信号的处理仍比较困难,小波分析可以聚焦到信号的不同细节,于是本文将它应用于断丝信号的消噪平滑和奇异性检测,使得信号更加光滑,消除了干扰信号,避免断丝误判,同时使奇异点更加明显,有效地提高内外部断丝识别和定量检测的准确率,实验证明该方法效果明显。

Nowadays it is still difficult to process the signals of broken wire ropes in nondestructive testing of steel ropes.Wavelet analysis is a signal processing method, which is able to focus on different details of signals.This paper applies it for signal denoising and smoothing and singularity detection in nondestructive testing of wire ropes. The method makes signals more smoothly, removes noise jamming, avoids mistakes and makes singular points outstanding. It can effectively improve accuracy of recognizing internal and external broken wire ropes and quantitative inspection. The experiment indicates it is evidently effective.