含镍腐蚀噪声的铜-镍合金热交换管涡流检测信号处理方法

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Abstract Based on numerical analyses and experiments, a scheme for automatic processing of eddy current testing (ECT) signals of a Cu-Ni alloy heat exchanging tube including large Ni corrosion noises is proposed and verified in this paper. Through numerical simulation, the features of the Ni corrosion noise are evaluated, and it is found that its major difference with that of crack signal is on the phases and the waveforms characteristics, and it is difficult to identify crack information from the polluted testing signals with conventional signal processing method. Based on this knowledge, a piecewise phase transformation algorithm and a pattern matching technique are proposed to extract the crack information from the noise polluted ECT signals. As validation experiments, test-pieces of tube segments taken from an aged practical heat exchanger are fabricated, and the proposed signal processing method is adopted for the measured ECT signals. The experimental results shown that the proposed signal processing method can identify and extract the crack information effectively from the testing signals with large Ni corrosion noises, and the proposed method is suitable for practical application to inspection of aged Cu-Ni alloy tubes.

Key words： Heat exchanging tube eddy current testing corrosion noise artificial crack phase transform algorithm

Received: 13 November 2013 Published: 30 December 2015

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TM154

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	Tian Shuxia
	Chen Zhenmao

Cite this article:

Tian Shuxia,Chen Zhenmao. Data Processing of Corrosion Noise Polluted ECT Signals for Heat Exchanging Tubes of Cu-Ni Alloy[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 229-236.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I24/229

[1] 陈德智, 邵可然. 管道裂纹涡流检测线圈阻抗信号的快速仿真[J]. 电工技术学报, 2000, 15(6): 75-78. Chen Dezhi, Shao Keran. Rapid simulation of the oil impedance signal eddy current inspection of the tube with a crack[J]. Transactions of China Electrotechnical Society, 2000, 15(6): 75-78.
[2] 杨宾峰, 罗飞路, 张玉华, 等. 飞机多层结构中裂纹的定量检测及分类识别[J]. 机械工程学报, 2006, 42(2): 63-67. Yang Binfeng, Luo Feilu, Zhang Yuhua, et al. Quan- tification and classification of cracks in aircraft multi- layered structure[J]. Chinese Journal of Mechanical Engineering, 2006, 42(2): 63-67.
[3] 杨宾峰, 罗飞路, 曹雄恒, 等. 飞机结构腐蚀检测中的脉冲涡流无损检测技术[J]. 测试技术学报, 2005, 19(1): 27-29. Yang Binfeng, Luo Feilu, Cao Xiongheng, et al. The detection of corrosion in aeroplane using pulsed eddy current nondestructive testing technology[J]. Chinese Journal of Mechanical Engineering, 2005, 19(1): 27-29.
[4] 安斯光, 杨仕友, 李桃. 改进的禁忌搜索算法及其在电磁场逆问题中的应用[J]. 电力系统保护与控制, 2010, 38(24): 30-33. An Siguang, Yang Shiyou, Li Tao. The application of improved tabu search algorithm in electromagnetic inverse problems[J]. Power System Protection and Control, 2010, 38(24): 30-33.
[5] 刘磊, 安斯光, Lu Junwei, 等. 高维多目标电磁场逆问题计算的改进多重单目标Pareto采样算法[J]. 电工技术学报, 2013, 28(6): 9-15. Liu Lei, An Siguang, Lu Junwei, et al. An improved multiple single objective pareto sampling algorithm applied to many-objective inverse problems[J]. Transac- tions of China Electrotechnical Society, 2013, 28(6): 9-15.
[6] 耿强, 田淑侠, 黄太回, 等. 基于支持向量机和神经网络法的应力腐蚀裂纹定量重构[J]. 电工技术学报, 2010, 25(10): 196-199. Geng Qiang, Tian Shuxia, Huang Taihui, et al. Recons- truction of stress corrosion crack using neural network and support vector machine techniques[J]. Transactions of China Electrotechnical Society, 2010, 25(10): 196- 199.
[7] Chen Z, Yusa N, Miya K. Enhancements of eddy current testing techniques for quantitative nondestructive testing of key structural components of nuclear power plants[J]. Nuclear Engineering and Design, 2008, 238(7): 1651-1656.
[8] Chen Z, Yusa N, Rebican M, et al. Inversion techniques for eddy current NDE using optimization strategies and a rapid 3D forward simulator[J]. International Journal of Applied Electromagnetics and Mechanics, 2004, 20(3): 179-187.
[9] Chen Z, Rebican M, Miya K, et al. Three dimensional simulation of remote ﬁeld ECT by using Ar method and a new formula for signal calculation[J]. Research in Nondestructive Evaluation, 2005, 16(1): 35-53.
[10] Fukutomi H, Takagi T, Tani Junji, et al. Numerical evaluation of ECT impedance signal due to minute cracks[J]. IEEE Transactions on Magnetics, 1997, 33(2): 2123-2126.
[11] Kameari A. Calculation of transient 3D eddy current using edge element[J]. IEEE Transactions on Magnetics, 1990, 26(2): 466-469.
[12] 胡卫红, 舒泓, 栾宇光. 基于奇异值分解的电能质量信号去噪[J]. 电力系统保护与控制, 2010, 38(2): 30-33. Hu Weihong, Shu Hong, Luan Yuguang. Power quality signals’ de-noising method based on singular value decomposition(SVD)[J]. Power System Protection and Control, 2010, 38(2): 30-33.
[13] 秦代春, 周林, 郭珂, 等. 一种小波神经网络的电能质量信号去噪新方法[J]. 电力系统保护与控制, 2010, 38(13): 88-93. Qin Daichun, Zhou Lin, Guo Ke, et al. A new method of power quality de-noising based on the wavelet neural network[J]. Power System Protection and Control, 2010, 38(13): 88-93.
[14] Tian S, Chen Z, Ueda M, et al. Signal processing schemes for eddy current testing of steam generator tubes of nuclear power plants[J]. Nuclear Engineering and Design, 2012, 245(3): 78-88.
[15] Xiang P, Ramakrishnan S, Cai X, et al. Automated analysis of rotating probe multi-frequency eddy current data form steam generator tubes[J]. Inter- national Journal of Applied Electromagnetics and Mechanics, 2000, 12(3-4): 151-164.