基于广义S变换的声发射信号分析及定位
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摘要
针对声发射信号分析和声源定位问题,提出了基于广义S变换的声发射信号分析方法和三维空间定位方法,推导出了广义S变换的实现过程,使用广义S逆变换对信号进行去噪重构.为保证各传感器时差的准确性,本文利用广义S变换分析声发射信号,提取其主频带能量序列曲线上峰值所对应的时间进行时差计算,然后结合三维空间定位方法对声发射源进行精确定位.仿真实验结果表明该算法能够实现声发射信号的特征提取和准确定位,且误差小,可靠性好.
To solve the analysis and location of acoustic emission(AE),an approach combining generalized S-transform(GST) and three-dimension location was proposed,implementation process of GST was derived,and AE signal was de-noised by inverse generalized S-transform.GST was introduced in acoustic emission signals analysis to ensure the accuracy of time differences,the peak time on the main frequency energy serials was extracted to compute time difference,then the sound source was located combing three-dimension location method.The results show that the method could extract effective features of acoustic emission and give accurate location with little error and good reliability.
To solve the analysis and location of acoustic emission(AE),an approach combining generalized S-transform(GST) and three-dimension location was proposed,implementation process of GST was derived,and AE signal was de-noised by inverse generalized S-transform.GST was introduced in acoustic emission signals analysis to ensure the accuracy of time differences,the peak time on the main frequency energy serials was extracted to compute time difference,then the sound source was located combing three-dimension location method.The results show that the method could extract effective features of acoustic emission and give accurate location with little error and good reliability.
引文
[1]王学滨.缺陷数目对岩样声发射及应变能降低的影响[J].中国有色金属学报,2008,18(8):1541-1549.Wang Xue-bin.Influence of imperfection number on acoustic e-missions and elastic strain energy decrease of rock specimenswith initially random imperfections[J].The Chinese Journal ofNonferrous Metals,2008,18(8):1541-1549.(in Chinese)
[2]耿荣生,沈功田,刘时风.声发射信号处理和分析技术[J].无损检测,2002,24(1):23-26.Geng Rong-sheng,Shen Gong-tian,Liu Shi-fen.An overviewon the development of acoustic emissionsignal processing andanalysis technique[J].NDT,2002,24(1):23-26.(in Chi-nese)
[3]孙立瑛,李一博.基于小波包和HHT变换的声发射信号分析方法[J].仪器仪表学报,2008,29(8):1577-1581.Sun Li-ying,Li Yi-bo.Acoustic emission signal processingmethod based on wavelet package and HHT transform[J].Chi-nese Journal of Scientific Instrument,2008,29(8):1577-1581.(in Chinese)
[4]LEE J K,Lee J H.Study on damage mechanism of pipe usingultrasonic wave and acoustic emission technique[J].Key Engi-neering Materials,2007,353(4):2415-2418.
[5]Sinha S Routh P S.Spectral decomposition of seismic data withcontinuous-wavelet transform[J].Geographisics,2005,70(6):9-25.
[6]金乃高,殷富亮,陈.基于分层采样粒子滤波的麦克风阵列说话人跟踪方法[J].电子学报,2008,36(1):194-198.Jin Nai-gao,Yin Fu-liang,Chen Zhe.Microphone array speakertracking using layered sampling particle filtering[J].Acta Elec-tronica Sinica,2008,36(1):194-198.(in Chinese).
[7]Shin Y J,Powers E J,Grady M,et al.Power quality indices fortransient disturbances[J].IEEE Transactions on Power Deliv-ery,2006,21(1):253-261.
[8]Chilukuri M V,Dash P K.Time-frequency based pattern recog-nition technique for detection and classification of power qualitydisturbances[A].IEEE Region10Annual International Confer-ence,Proceedings/TENCON C,Chiang Mai,Thailand:Instituteof Electrical and Electronics Engineers Inc[C].Chiang Mai,2004.C260-C263.
[9]高静怀,满蔚仕.广义S变换域有色噪声与信号识别方法[J].地球物理学报,2004,47(5):869-875.Gao Jing-huai,Man Wei-shi.Recognition of signals from col-ored noise background in generalized S-transformation domain[J].Chinese Journal of Geophysics,2004,47(5):869-875.(in Chinese)
[10]陈学华,贺振华,黄德济.时频域高分辨地震层序识别[J].吉林大学学报,地球科学版,2008,38(1):52-54.Chen Xue-hua,He Zhen-hua,Huang De-ji.Seismic sequenceidentifying with high resolution in time-frequency domain[J].Journal of Jilin Unviersity,Earth Science Edition,2008,38(1):52-54.(in Chinese)
[11]Stockwell R G,Mansina L,Lowe R P.Localization of thecomplex spectrum:The S transform[J].IEEE Trans.onSiganal Process,1996,44:998-1001.
[2]耿荣生,沈功田,刘时风.声发射信号处理和分析技术[J].无损检测,2002,24(1):23-26.Geng Rong-sheng,Shen Gong-tian,Liu Shi-fen.An overviewon the development of acoustic emissionsignal processing andanalysis technique[J].NDT,2002,24(1):23-26.(in Chi-nese)
[3]孙立瑛,李一博.基于小波包和HHT变换的声发射信号分析方法[J].仪器仪表学报,2008,29(8):1577-1581.Sun Li-ying,Li Yi-bo.Acoustic emission signal processingmethod based on wavelet package and HHT transform[J].Chi-nese Journal of Scientific Instrument,2008,29(8):1577-1581.(in Chinese)
[4]LEE J K,Lee J H.Study on damage mechanism of pipe usingultrasonic wave and acoustic emission technique[J].Key Engi-neering Materials,2007,353(4):2415-2418.
[5]Sinha S Routh P S.Spectral decomposition of seismic data withcontinuous-wavelet transform[J].Geographisics,2005,70(6):9-25.
[6]金乃高,殷富亮,陈.基于分层采样粒子滤波的麦克风阵列说话人跟踪方法[J].电子学报,2008,36(1):194-198.Jin Nai-gao,Yin Fu-liang,Chen Zhe.Microphone array speakertracking using layered sampling particle filtering[J].Acta Elec-tronica Sinica,2008,36(1):194-198.(in Chinese).
[7]Shin Y J,Powers E J,Grady M,et al.Power quality indices fortransient disturbances[J].IEEE Transactions on Power Deliv-ery,2006,21(1):253-261.
[8]Chilukuri M V,Dash P K.Time-frequency based pattern recog-nition technique for detection and classification of power qualitydisturbances[A].IEEE Region10Annual International Confer-ence,Proceedings/TENCON C,Chiang Mai,Thailand:Instituteof Electrical and Electronics Engineers Inc[C].Chiang Mai,2004.C260-C263.
[9]高静怀,满蔚仕.广义S变换域有色噪声与信号识别方法[J].地球物理学报,2004,47(5):869-875.Gao Jing-huai,Man Wei-shi.Recognition of signals from col-ored noise background in generalized S-transformation domain[J].Chinese Journal of Geophysics,2004,47(5):869-875.(in Chinese)
[10]陈学华,贺振华,黄德济.时频域高分辨地震层序识别[J].吉林大学学报,地球科学版,2008,38(1):52-54.Chen Xue-hua,He Zhen-hua,Huang De-ji.Seismic sequenceidentifying with high resolution in time-frequency domain[J].Journal of Jilin Unviersity,Earth Science Edition,2008,38(1):52-54.(in Chinese)
[11]Stockwell R G,Mansina L,Lowe R P.Localization of thecomplex spectrum:The S transform[J].IEEE Trans.onSiganal Process,1996,44:998-1001.
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