Laser Ultrasonic Weak Defect Signal Detection Based on Duffing Oscillator
Source abstract
Abstract
Abstract This paper addresses the challenge in traditional laser ultrasonic methods, where the detection of surface defects in metal materials is often hindered by noise, and a novel approach that combines laser ultrasonics with Duffing oscillators to achieve a high signal-to-noise ratio for weak defect signals on metal surfaces is proposed. By leveraging the sensitivity of the Duffing oscillator’s chaotic system to initial conditions and its noise immunity, we can accurately identify the location of weak defects. Simulation results confirm the effectiveness and stability of this method for detecting surface defects in metal sheets.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gear and Bearing Dynamics Analysis · Industrial Vision Systems and Defect Detection · Machine Fault Diagnosis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
Show source-provided references
1. Jalilvand, A. and Fotoohabadi, H., the application of duffing oscillator in weak signal detection, ECTI Trans. Electr. Eng. Electron. Commun., 2011, vol. 9, no. 1, pp. 1–6. https://doi.org/10.37936/ecti-eec.201191.17224910.37936/ecti-eec.201191.172249 ↗
2. Martynyuk, V., Fedula, M., and Balov, O., Periodic signal detection with using duffing system Poincaré map analysis, Adv. Sci. Technol. Res. J., 2014, vol. 8, no. 22, pp. 26–30. https://doi.org/10.12913/22998624.110515810.12913/22998624.1105158 ↗
3. Rashtchi, V. and Nourazar, M., A multiprocessor Nios II implementation of duffing oscillator array for weak signal detection, J. Circuits Syst. Comput., 2014, vol. 23, no. 4, p. 1450054. https://doi.org/10.1142/S021812661450054610.1142/S0218126614500546 ↗
4. Gong, X., Xu, W., Ma, F., et al., Weak signal detection method based on improved double-coupled Duffing oscillator, Autom. Instrum., 2022, no. 10, pp. 42–45, 50. https://doi.org/10.14016/j.cnki.1001-9227.2022.10.04210.14016/j.cnki.1001-9227.2022.10.042 ↗
5. Zhao, B., Yang, S., and Zhao, Z., Influence and analysis of Duffing equation parameters on weak signal detection, J. Shijiazhuang Railw. Univ. Nat. Sci. Educ., 2017, vol. 30, no. 3, pp. 39–42. https://doi.org/10.13319/j.cnki.sjztddxxbzrb10.13319/j.cnki.sjztddxxbzrb ↗
6. Li, J. and Jin, W., Weak signal detection method based on improved double-coupled Duffing oscillator, Instrum. Technol. Sens., 2021, no. 11, pp. 21–125.
7. Xing, H., Wu, H., and Liu, G., Variable-scale Duffing oscillator method for weak signal detection, J. Electron., 2020, vol. 48, no. 4, pp. 734–742.
8. Wei, H., Gan, L., and Li, L., Weak signal detection of Duffing oscillator based on Hamiltonian, J. Univ. Electron. Sci. Technol. China, 2012, vol. 41, no. 2, pp. 203–207.
9. Luo, W., Research on weak signal detection method based on coupled chaotic system, Master Thesis, Hunan Univ. Sci. Technol., 2023. https://doi.org/10.27738/d.cnki.ghnkd.2021.00001910.27738/d.cnki.ghnkd.2021.000019 ↗
10. Ning, A., Research on weak signal detection methods under chaotic background, J. Taiyuan Univ. Technol., 2006.
11. Zeng, W., High-speed railway axlebox bearing fault diagnosis method based on Dufen stochastic resonance system, Dissertation (Eng.), Chongqing Univ., 2022. https://doi.org/10.27670/d.cnki.gcqdu.2021.00073810.27670/d.cnki.gcqdu.2021.000738 ↗
12. Li, J., Weak mechanical fault signal detection based on double-coupled Duffing oscillator, Lanzhou Univ. Technol., 2021.
13. Jiang, W., Research on weak signal detection method and application based on two-dimensional Duffing stochastic resonance, Xi’an Univ. Technol., 2020.
14. Chen, Y. and Huang, G., Weak signal detection method based on improved Duffing oscillator, J. Electron. Meas. Instrum., 2019, vol. 33, no. 11, pp. 1–6. https://doi.org/10.13382/j.jemi.B190232710.13382/j.jemi.B1902327 ↗
15. Deeks, J. L., Nonlinear signal processing techniques for signal detection, Doctoral (Eng.) Thesis, Univ. Southampton, 2018.
16. Pancoatl-Bortolotti, P., Enríquez-Caldera, R. A., Costa, A. H., et al., Liènard chaotic system based on Duffing and the Sinc function for weak signals detection, IEEE Lat. Am. Trans., 2022, vol. 20, no. 8, pp. 2114–2121. https://doi.org/10.1109/TLA.2022.985323410.1109/TLA.2022.9853234 ↗
17. Birx, D. L. and Pipenberg, S. J., Chaotic oscillators and complex mapping feed forward networks (CMFFNs) for signal detection in noisy environments, in Proc. Int. Joint Conf. Neural Networks, 1992, vol. 2, pp. 881–888. https://doi.org/10.1109/IJCNN.1992.22687610.1109/IJCNN.1992.226876 ↗
18. Wu, J., Zhang, W., Nie, Z., et al., Experimental study on positioning of small defects by ultrasonic guided waves in pipelines based on Lyapunov index, J. Vib. Shock, 2016, vol. 35, no. 1, pp. 40–45, 53. https://doi.org/10.13465/j.cnki.jvs.2016.01.00810.13465/j.cnki.jvs.2016.01.008 ↗
19. Wu, J., Research on ultrasonic guided wave detection method based on Dufen equation, Taiyuan Univ. Sci. Technol., 2014.
20. Zhang, W. and Ma, H., Simulation research on using chaotic oscillator system to identify ultrasonic guided wave signals, J. Vib. Shock, 2012, vol. 31, no. 19, pp. 15–20. https://doi.org/10.13465/j.cnki.jvs.2012.19.00810.13465/j.cnki.jvs.2012.19.008 ↗
21. Sun, Y., Weak mechanical fault signal detection and feature extraction method based on Dafen oscillator, Yanshan Univ., 2017.
22. Stoyanov, S., Analytical and numerical investigation on the duffing oscillator subjected to a polyharmonic force excitation, J. Theor. Appl. Mech., 2015, vol. 45, no. 1, pp. 3–16. https://doi.org/10.1515/jtam-2015-000110.1515/jtam-2015-0001 ↗
23. Patel, V.N., Tandon, N., and Pandey, R.K., Defect detection in deep groove ball bearing in presence of external vibration using envelope analysis and Duffing oscillator, Measurement, 2012, vol. 45, no. 5, pp. 960–970. https://doi.org/10.1016/j.measurement.2012.01.04710.1016/j.measurement.2012.01.047 ↗
24. Nie, C., Chaotic Systems and Weak Signal Detection, Beijing: Tsinghua Univ. Press, 2009.
25. Zhang, W., Pipeline Ultrasonic Guided Wave and Its Chaos Detection Technology, Beijing: Electron. Ind. Press, 2019.
26. Gao, J., Detection of Weak Signals, Beijing: Tsinghua Univ. Press, 2004.
27. Zeng, W., Qi, S., Liu, L., and Yao, F., An quantitative inspection method for internal defects based on laser ultrasonic technology, Optik, 2020, vol. 216, p. 164873. https://doi.org/10.1016/j.ijleo.2020.16487310.1016/j.ijleo.2020.164873 ↗
28. Zuo, O., Wu, M., and Tang, Y., Numerical simulation of crack position determined by laser ultrasound based on COMSOL, Laser Infrared, 2020, vol. 50, no. 10, pp. 1164–1171.