Compression and Reconstruction Processing of the Electromagnetically Induced Acoustic Emission Signal
Zhang Chuang1, Jiang Pan1, Liu Suzhen1, Yang Qingxin1, 2, Li Fubiao1
1.Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China; 2.Key Laboratory of Advanced Electrical Engineering and Energy Technology Tianjin Polytechnic University Tianjin 300387 China
Abstract：Electromagnetically induced acoustic emission (EMAE) is a new technique of nondestructive testing, it can electromagnetically load to the metal components and generate the acoustic emission signal, which can be used to test metal components according to the result of signal processing. For acquiring the location and size of the defect, it needs to repeatedly load which will generate a lot of data. The theory of compressed sensing was introduced to compress and reconstruct the acoustic emission (AE) and EMAE signals based on orthogonal matching pursuit (OMP). The different measurement numbers were selected to contrast the result on signal reconstruction. The reconstruction effect was analyzed on the waveform and spectrum. Experimental results show that it can be achieved to compress the EMAE signals by using the method of compressed sensing and the measured number is exponential decaying with the reconstruction error and in direct proportion to the reconstruction time. Based on an overall consideration of various factors, the EMAE signal can obtain higher efficiency of reconstruction when the measured number is 8~10 times of the signal sparseness.
张闯, 蒋盼, 刘素贞, 杨庆新, 李福彪. 电磁声发射信号的压缩与重构处理[J]. 电工技术学报, 2017, 32(9): 121-128.
Zhang Chuang, Jiang Pan, Liu Suzhen, Yang Qingxin, Li Fubiao. Compression and Reconstruction Processing of the Electromagnetically Induced Acoustic Emission Signal. Transactions of China Electrotechnical Society, 2017, 32(9): 121-128.
[1] 张闯, 刘素贞, 金亮, 等. 基于大电流直接加载的电磁声发射试验[J]. 电工技术学报, 2013, 28(1): 101-105. Zhang Chuang, Liu Suzhen, Jin Liang,et al. Experimental study of electromagnetically induced acoutic emission based on high current loading directly[J]. Transactions of China Electrotechnical Society, 2013, 28(1): 101-105. [2] Jin Liang, Yang Qingxin, Liu Suzhen, et al. Electromagnetic stimulation of the acoustic emission for fatigue crack detection of the sheet metal[J]. IEEE Transactions on Applied Superconductivity, 2010, 20(3): 1848-1851. [3] 刘素贞, 李文杰, 金亮, 等. 基于DDS技术的电磁声发射涡流加载电源[J]. 电工技术学报, 2012, 27(6): 6-11. Liu Suzhen, Li Wenjie, Jin Liang, et al. Power source of electromagnetically induced acoustic emission based on DDS[J]. Transactions of China Electrotechnical Society, 2012, 27(6): 6-11. [4] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4):1289-1306. [5] Patel V M, Easley G R, Healy D M, et al. Compressed synthetic aperture radar[J]. IEEE Journal of Selected in Signal Processing, 2010, 4(2): 244-254. [6] Solimene R, Ahmad F, Soldovieri F. A novel CS-TSVD strategy to perform data reduction in linear inverse scattering problems[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(9): 881-885. [7] Sheikh M A, Milenkovic O, Baraniuk R G. Designing compressive sensing DNA microarrays[C]//IEEE Proceeding of the International Workshop on Computational Advance in Multi-Sensor Adaptive Processing, Washington DC, USA, 2007: 141-144. [8] Duarte M F, Davenport M A, Takhar D, et al.Single-pixel imaging via compressive sampling[J].IEEE Signal Processing Magazaine, 2008, 25(2): 83-91. [9] Candés E, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509. [10] Candés E, Romberg J. Sparsity and incoherence in compressive sampling[J]. Inverse Problems, 2007, 23(3): 969-985. [11] Baraniuk R, Davenport R, Devore R, et al. A simple proof of the restricted of isometry property for the random matrices[J]. Construction Approximation, 2008, 28(3): 253-263. [12] Fiqueiredo M A T, Nowak R D, Wright S J. Gradient projection for sparse reconstruction:application to compressed sensing and other inverse problems[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(4): 586-598. [13] Davenport M A, Wakin M B. Analysis of orthogonal matching pursuit using the restricted isometry property[J]. IEEE Transactions on Information Theory, 2010, 56(9): 4395-4401.
2017, Vol. 32 
