Tests for ultrasonic guided wave inspection using Lyapunov exponents

被引：0

作者：

Wu, Jing ^{[1
]}

Zhang, Wei-Wei ^{[1
]}

Ma, Hong-Wei ^{[2
]}

机构：

[1] Department of Mechanics, Taiyuan University of Science & Technology, Taiyuan

[2] College of Science and Engineering, Jinan University, Guangzhou

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2014年 / 33卷 / 24期

关键词：

Experimental study; Lyapunov exponent; Nondestructive examination; Ultrasonic guided wave;

D O I：

10.13465/j.cnki.jvs.2014.24.014

中图分类号：

学科分类号：

摘要：

A sensitive damage detection method was proposed here based on analyzing ultrasonic guided waves signals using Lyapunov exponents of Duffing equation. The feasibility of the method was verified by identifying guided wave signals in a steel pipe. Firstly, a Duffing inspection system and its inspection principle were explained. The determination of system parameters was described in detail. Secondly, the propagation of guided wave in a 3m-of-length steel pipe was measured experimentally, and the measured signals were analyzed with Duffing inspection system. The test results showed that Lyapunov exponents of Duffing inspection system can be used to effectively identify small defect echos and has a strong immunity to noise simultaneously; in addition, a damage index is defined with the ratio of Lyapunov exponent when inputting measured guided wave signals with noise to that when only inputting measured pure noise signals, it can be used to evaluate the damage level of defects. This method was significant to improve the sensitivity of small defect detection using ultrasonic guided wave. ©, 2014, Chinese Vibration Engineering Society. All right reserved.

引用

页码：82 / 87

页数：5

共 16 条

[1]

Mathias A.F., Time reversal of ultrasonic fields-part I: basic principles, IEEE Transaction on Ultrasonic, Ferroelectrivs, and Frequency Control, 39, 5, pp. 555-566, (1992)

[2]

Wu F., Thomas J.L., Mathias A.F., Time reversal of ultrasonic fields-part II: experimental results, IEEE Transaction on Ultrasonic, Ferroelectrivs, and Frequency Control, 39, 5, pp. 567-578, (1992)

[3]

Deng F., Wu B., He C.F., A time reversal guided wave defect identification method , Journal of Mechanical Engineering, 46, 8, pp. 18-24, (2010)

[4]

Jiang G.-Z., Jiang C., Study on the principle and way of detection, Journal of Hubei Normal University (Natural Science), 21, 4, pp. 45-52, (2001)

[5]

Chen S.-H., Xiang J.-L., A modified time averaging method in weak signal detection, Journal of Detection & Control, 25, 4, pp. 56-59, (2003)

[6]

Li Z.-H., The application of spectral analysis to detection of minute signals, Journal of Dalian Maritime University, 24, 1, pp. 102-104, (1998)

[7]

Wang G.Y., Chen D.L., The application of chaotic oscillators to weak signal detection, IEEE Transaction on Industrial Electronic, 46, 2, pp. 440-444, (1999)

[8]

Benzi R.L., The mechanism of stochastic resonance , J Phys A, 14, 5, pp. 453-457, (1981)

[9]

Ren Z.-L., Liu Y.-B., Shi X.-P., Improvement of weak sinusoidal signal detecting based on Duffing oscillator, Computer Measurement & Control, 19, 6, pp. 1301-1303, (2011)

[10]

Zhang S.-Q., Jiang W.-L., Wang Y.-T., Chaos theory for weak signal detection in high noise environment and its application in ultrasonic wave detection, Journal of Electronic Measurement and Instrument, 15, 2, pp. 11-16, (2001)

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