基于谱峭度的锚杆参数检测方法
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摘要
锚杆长度是评价锚杆质量的重要因素,但由于恶劣的锚杆检测环境,以及仪器自身所带来的干扰,采集到的锚杆信号含有大量噪声,使信号分析和锚杆参数精确预测困难,为此需要对信号进行滤波处理。针对锚杆信号的特点,本文利用谱峭度理论构造了一个以最大化信噪比滤波的峭度滤波器,对锚杆检测信号进行滤波,完成锚杆参数检测。与传统的小波理论方法相比较,该方法的检测精度有了较大提高。另外,峭度滤波后的信号具有良好的频域特性,在频域图中可方便读取相应频率,利用频率差法也可求得比较精确的锚杆长度。
The length of the rock blot are one of the important parameters to evaluate the quality of the rock bolt,during rock bolt detection,because of the harsh environment and the disturbance from instrumentation,there are a lot of noises,which make the signal analysis and rock bolt parameters detection difficult,so,it's necessary to remove noises.According to the characteristics of the anchor signal distribution,this paper proposes a detection method based on spectral kurtosis in parameter detection.A filter on the basis of the maximum SNR filtering using spectral kurtosis theory is constructed,parameters testing are finished after filtered.Compared with the traditional method based on wavelet theory,the detection precision of this method has been greatly improved.The denoised signal also has a good frequency domain characteristic,some frequency values are easy to get,so the length of anchor could be got using a frequency differential method.
The length of the rock blot are one of the important parameters to evaluate the quality of the rock bolt,during rock bolt detection,because of the harsh environment and the disturbance from instrumentation,there are a lot of noises,which make the signal analysis and rock bolt parameters detection difficult,so,it's necessary to remove noises.According to the characteristics of the anchor signal distribution,this paper proposes a detection method based on spectral kurtosis in parameter detection.A filter on the basis of the maximum SNR filtering using spectral kurtosis theory is constructed,parameters testing are finished after filtered.Compared with the traditional method based on wavelet theory,the detection precision of this method has been greatly improved.The denoised signal also has a good frequency domain characteristic,some frequency values are easy to get,so the length of anchor could be got using a frequency differential method.
引文
[1]王猛,李义,董嘉.应力波法锚杆锚固质量无损检测现场实验研究[J].煤炭技术,2013(1):203-204.
[2]马洁腾.超声导波在锚杆锚固质量检测中的应用研究[D].太原:太原理工大学,2013.
[3]康宏泉,胡文新.锚杆锚固质量声波检测新技术研究及其应用[J].人民长江,2009(15):64-66.
[4]孙晓云,程久龙.现代信息处理技术在锚杆无损检测中的应用探讨[J].中国矿业,2008,17(11):87-89,92.
[5]Xiaoyun Sun,Jiulong Cheng,Donghui Liu,Junchao Yuan,Application of Information Processing Technology on Nondestructive Detecting of Rock Bolts,Int.J.Modelling[J].Identification and Control,2012,16(3):241-245.
[6]Sun Xiaoyun,Liu Donghui,A New Effective Method Removing Measurement Noise in Eddy Current Nondestructive Detecting[J].International Journal of Applied Electromagnetics and Mechanics,2010,33(3-4):1173-1177.
[7]李瑞军,李志强,徐永峰,等.MATLAB环境下频域分析在工程锚杆无损检测中的应用[J].河北建筑工程学院学报,2011(4):1-3,15.
[8]张朋.基于小波变换的锚杆质量检测信号消噪技术的研究[J].煤矿机械,2011(5):239-240.
[9]孙涛,张立伟,李少龙.利用BP神经网络进行锚杆承载力智能预测[J].广东建材,2012(7):75-77.
[10]Antoni J,RandallR B.The spectral kurtosis:a useful tool or characterising nonstationary signals[J].Mechanical Systems and Signal Processing,2006,20(2):282-307.
[11]Antoni J,RandallR B.The spectral kurtosis:application to the vibratory surveillance and diagnostics of rotating machines[J].Mechanical Systems and Signal Processing,2006,20(2):308-331.
[12]孙嘉兵,张越.基于小波分析的振动信号去噪的研究[J].数字技术与应用,2013(2):103.
[13]晏石林,秦莹,池秀文.基于小波分析的锚杆锚固质量评价研究[J].华中科技大学学报:城市科学版,2009(1):39-41.
[14]盖强,张海勇,徐晓刚.Hilbert-Huang变换的自适应频率多分辨分析研究[J].电子学报,2005(3):563-566.
[2]马洁腾.超声导波在锚杆锚固质量检测中的应用研究[D].太原:太原理工大学,2013.
[3]康宏泉,胡文新.锚杆锚固质量声波检测新技术研究及其应用[J].人民长江,2009(15):64-66.
[4]孙晓云,程久龙.现代信息处理技术在锚杆无损检测中的应用探讨[J].中国矿业,2008,17(11):87-89,92.
[5]Xiaoyun Sun,Jiulong Cheng,Donghui Liu,Junchao Yuan,Application of Information Processing Technology on Nondestructive Detecting of Rock Bolts,Int.J.Modelling[J].Identification and Control,2012,16(3):241-245.
[6]Sun Xiaoyun,Liu Donghui,A New Effective Method Removing Measurement Noise in Eddy Current Nondestructive Detecting[J].International Journal of Applied Electromagnetics and Mechanics,2010,33(3-4):1173-1177.
[7]李瑞军,李志强,徐永峰,等.MATLAB环境下频域分析在工程锚杆无损检测中的应用[J].河北建筑工程学院学报,2011(4):1-3,15.
[8]张朋.基于小波变换的锚杆质量检测信号消噪技术的研究[J].煤矿机械,2011(5):239-240.
[9]孙涛,张立伟,李少龙.利用BP神经网络进行锚杆承载力智能预测[J].广东建材,2012(7):75-77.
[10]Antoni J,RandallR B.The spectral kurtosis:a useful tool or characterising nonstationary signals[J].Mechanical Systems and Signal Processing,2006,20(2):282-307.
[11]Antoni J,RandallR B.The spectral kurtosis:application to the vibratory surveillance and diagnostics of rotating machines[J].Mechanical Systems and Signal Processing,2006,20(2):308-331.
[12]孙嘉兵,张越.基于小波分析的振动信号去噪的研究[J].数字技术与应用,2013(2):103.
[13]晏石林,秦莹,池秀文.基于小波分析的锚杆锚固质量评价研究[J].华中科技大学学报:城市科学版,2009(1):39-41.
[14]盖强,张海勇,徐晓刚.Hilbert-Huang变换的自适应频率多分辨分析研究[J].电子学报,2005(3):563-566.