红外脉冲相位复调制细化检测算法
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摘要
试件发生损伤时会在频谱上表现为一系列特有的频率形式,该频率随材料热物性、损伤深度和尺寸的变化而变化。传统红外脉冲相位法(PPT)基于快速傅里叶变换(FFT)算法,在采样率固定的情况下,因栅栏效应、频率分辨率不足,无法准确识别峰值频率和"盲频",难以满足准确的定量分析。基于复调制的频率细化方法,首先分析全景频谱,再进行复调制移频,对特定的局部频带进行频谱细化,并通过零相位滤波器的改进,避免了附加相位和弥散现象,提高了频率分辨率,校正了频率、幅值和相位。通过铝制样件的实验,测试结果在定性分析时,可得到效果更优的幅值和相位图像;定量分析时,可得到更可靠的特征频率、更好的定量化损伤参数,能满足工程误差的要求。
Specimen damages induce a series of characteristic frequencies in the frequency spectrum,these frequencies change along with the variety of the material thermal properties,the damage depths and sizes.The traditional infrared Pulse Phase Thermography(PPT) is based on the Fast Fourier Transform(FFT) algorithm,with a fixed sampling rate,the frequency resolution is insufficient to accurately identify the peak frequency and the blind-frequency due to the barrier effect.Therefore,it is difficult to fulfill the accurate quantitative analysis.A frequency refinement algorithm based on the complex frequency modulation was proposed.The panoramic view of spectrum was analyzed,and the selected specific frequency band was deployed to local refine.With the improvement of zero phase filter,it was able to avoid the signal additional phase and dispersion,and the frequency resolution was improved,whilst the frequency,amplitude and phase were corrected.The experimental results show that this algorithm can obtain better amplitude and phase images,in addition,the reliable characteristic frequencies can be extracted,thus better quantitative damage parameters can be achieved in quantitative analysis.It meets the requirements of engineering errors.
Specimen damages induce a series of characteristic frequencies in the frequency spectrum,these frequencies change along with the variety of the material thermal properties,the damage depths and sizes.The traditional infrared Pulse Phase Thermography(PPT) is based on the Fast Fourier Transform(FFT) algorithm,with a fixed sampling rate,the frequency resolution is insufficient to accurately identify the peak frequency and the blind-frequency due to the barrier effect.Therefore,it is difficult to fulfill the accurate quantitative analysis.A frequency refinement algorithm based on the complex frequency modulation was proposed.The panoramic view of spectrum was analyzed,and the selected specific frequency band was deployed to local refine.With the improvement of zero phase filter,it was able to avoid the signal additional phase and dispersion,and the frequency resolution was improved,whilst the frequency,amplitude and phase were corrected.The experimental results show that this algorithm can obtain better amplitude and phase images,in addition,the reliable characteristic frequencies can be extracted,thus better quantitative damage parameters can be achieved in quantitative analysis.It meets the requirements of engineering errors.
引文
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[2]Frankea B,Sohna Y H,Chenb X,et al.Monitoring damageevolution in thermal barrier coatings with thermal waveimaging[J].Surface and Coatings Technology,2005,200(5-6):1292-1297.
[3]Yang Zhengwei,Zhang Wei,Tian Gan,et al.Infraredthermography applied to detect debond defect in shellstructure[J].Infrared and Laser Engineering,2011,40(2):186-191.(in Chinese)杨正伟,张炜,田干,等.红外热波方法检测壳状结构脱粘缺陷[J].红外与激光工程,2011,40(2):186-191.
[4]Jiang Shufang,Ning Ning,Shen Jingling,et al.Infraredthermal wave imaging for impact damage of the carbon fiberlaminated board[J].Infrared and Laser Engineering,2006,35(3):268-270.(in Chinese)蒋淑芳,宁宁,沈京玲,等.碳纤维层压板冲击损伤的红外热波检测[J].红外与激光工程,2006,35(3):268-270.
[5]Li Yanhong,Jin Wanping,Yang Danggang,et al.Thermalwave nondestructive testing of honeycomb structure[J].Infrared and Laser Engineering,2006,35(1):45-48.(inChinese)李艳红,金万平,杨党纲,等.蜂窝结构的红外热波无损检测[J].红外与激光工程,2006,35(1):45-48.
[6]Xue Shuwen,Hong Weiming,Zu Xiaotao.Thermal pulsevideo thermography nondestructive testing of the defects incarbon steel[J].Infrared and Laser Engineering,2005,34(4):446-449.(in Chinese)薛书文,洪伟铭,祖小涛.碳钢中缺陷的脉冲红外热成像无损探伤[J].红外与激光工程,2005,34(4):446-449.
[7]Liu Junyan,Dai Jingmin,Wang Yang.Theory andexperiment of IR lock-in thermography with image sequenceprocessing[J].Infrared and Laser Engineering,2009,38(2):346-351.(in Chinese)刘俊岩,戴景民,王扬.红外图像序列处理的锁相热成像理论与试验[J].红外与激光工程,2009,38(2):346-351.
[8]Kou Wei,Sun Fengrui,Yang Li.Thermal responses ofdefect under sinusoidal heating[J].Infrared and LaserEngineering,2007,36(4):472-474.(in Chinese)寇蔚,孙丰瑞,杨立.正弦规律加热条件下的缺陷红外故障响应[J].红外与激光工程,2007,36(4):472-474.
[9]Maldague X.Theory and Practice of Infrared Technology forNon-destructive Testing[M].New York:John Wiley&Sons,2001.
[10]Omar M A,Zhou Y.A quantitative review of three flashthermography processing routines[J].Infrared Phys Techn,2008,51(4):300-306.
[11]Oppenheim A V,Schafer R W.Discrete-Time SignalProcessing[M].Xi′an:Xi′an Jiaotong University Press,2001.(in Chinese)奥本海姆A V,谢弗R W,巴克J R.离散时间信号处理[M].西安:西安交通大学出版社,2001.
[12]Hoyer E,Stork R.The zoom FFT using complex modulation[C]//IEEE International Conference on Acoustics,Speech andSignal Processing.Piscataway,NJ:IEEE Press,1977:78-81.
[13]Lu Wenxiang,Du Runsheng.Mechanical Engineering Testing.Information.Signal Processing[M].Wuhan:HuazhongUniversity of Science&Technology Press,1999.(inChinese)卢文祥,杜润生.机械工程测试.信息.信号分析[M].武汉:华中科技大学出版社,1999.
[14]Ying Qiheng,Feng Yiyun,Dou Weibei.Discrete-Time SignalAnalysis and Processing[M].Beijing:Tsinghua UniversityPress,2001.(in Chinese)应启珩,冯一云,窦维蓓.离散时间信号分析和处理[M].北京:清华大学出版社,2001.
[15]Wang Lanwei,Zhao Jialiu,Wang Ziying,et al.Applicationof zoom FFT technique to detecting em signal of SLF/ELF[J].Acta Seismologica Sinica,2007,29(1):59-66.(inChinese)王兰炜,赵家骝,王子影,等.频率细化技术在超低频/极低频电磁信号检测中的应用[J].地震学报,2007,29(1):59-66.
[16]Gmtafsson F.Determining the initial states in forward-backward filtering[J].IEEE Transactions on SignalProcessing,1996,44(4):988-992.
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