讨论了双曲线函数、指数函数、线性函数3种不同衰减函数对钢丝绳漏磁信号降噪效果的影响,对损伤含噪信号进行自适应移位平均降噪,并使用信噪比、互相关系数对降噪效果作了对比分析。结果表明,针对所用的2种漏磁信号,使用双曲线函数的降噪信号信噪比最大可达14.1041dB与10.8349dB,大于指数函数与线性函数所得的对应信噪比值,且得到的输出曲线平滑,具有更好的降噪效果。同时,随着噪声增大,使用双曲线函数的降噪信号互相关系数更快地接近1,具有更好的动态特性。
Abstract
The effects of three different attenuation functions, namely, hyperbolic function, exponential function and linear function, on the noise reduction effect of wire rope magnetic flux leakage signal are discussed.Adaptive shift average denoising is applied to noisy signals with damage, and the denoising effect is compared and analyzed using signal-to-noise ratio and correlation number.The results show that for the two types of magnetic leakage signals used, the maximum SNR of the denoising signal using hyperbolic functions can reach 14.1041dB and 10.8349dB, which is greater than the corresponding SNR obtained from exponential and linear functions.The output curve obtained is smooth and has better denoising effect.Meanwhile, as the noise increases, the correlation number of denoised signals using hyperbolic functions approaches 1 faster, exhibiting better dynamic characteristics.
关键词
漏磁检测 /
钢丝绳 /
强噪声 /
自适应降噪 /
双曲线函数 /
移位平均法 /
衰减函数
Key words
magnetic flux leakage testing /
steel wire rope /
strong noise /
adaptive denoising /
hyperbolic functions /
shift average method /
attenuation function
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基金
鞍钢集团矿业有限公司科研项目(2020-科A40)
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