journal article·2026-03

Research on the Fusion Detection Method of Pulse Eddy Current Multi-characteristic Signals based on SSA-BP Algorithm

Jiadong Li, Yiling Zhang, Yanjie Zhang, Yu Li, Wei Wang, Yudong Xu, Yu Wu, Shaoni Jiao

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OpenAlex topics: Non-Destructive Testing Techniques · Ultrasonics and Acoustic Wave Propagation · Concrete Corrosion and Durability

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References (22)

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1. Wasim, M., Djukic, M.B.: External corrosion of oil and gas pipelines: a review of failure mechanisms and predictive preventions. J. Nat. Gas Sci. Eng. 100, 104467 (2022)10.1016/j.jngse.2022.104467 ↗
2. Gupta, M., Khan, M.A., Butola, R., et al.: Advances in applications of Non-Destructive Testing (NDT): A review[J]. Advances in Materials and Processing Technologies 8(2), 2286–2307 (2022)10.1080/2374068X.2021.1909332 ↗
3. Iskandar, N., Yusuf, E.M.: The evaluation for accuracy of non-destructive testing (NDT) in ultrasonic inspection on stainless steel material by ultrasonic testing thickness measurement. Research Progress in Mechanical and Manufacturing Engineering 2(2), 685–692 (2021)
4. Li, L., Yang, Y., Cai, X., et al.: Investigation on the formation mechanism of crack indications and the influences of related parameters in magnetic particle inspection[J]. Applied Sciences 10(19), 6805 (2020)10.3390/app10196805 ↗
5. Silva, W., Lopes, R., Zscherpel, U., et al.: X-ray imaging techniques for inspection of composite pipelines. Micron 145, 103033 (2021)10.1016/j.micron.2021.103033 ↗
6. Duan, Z., Kang, Y., Chen, Y., et al.: Reduction of lift-off effect in pulsed eddy current testing for surface hardness classification of ferromagnetic steel[J]. Measurement 205, 112191 (2022)10.1016/j.measurement.2022.112191 ↗
7. Peng, J., Xu, Z., Chen, H., et al.: Detection of brazing defects in stainless steel core plate using the first peak value of pulsed eddy current testing signals. Constr. Build. Mater. 408, 133636 (2023)10.1016/j.conbuildmat.2023.133636 ↗
8. Yu, Y.T., Guan, J.: Investigation of signal characteristics of pulsed eddy current testing technique by experiments. Insight-Non-Destructive Testing and Condition Monitoring 55(9), 487–491 (2013)10.1784/insi.2012.55.9.487 ↗
9. Nafiah, F., Tokhi, M.O., Shirkoohi, G., et al.: Parameter analysis of pulsed eddy current sensor using principal component analysis[J]. IEEE Sensors Journal 21(5), 6897–6903 (2020)10.1109/JSEN.2020.3036967 ↗
10. Ulapane, N., Thiyagarajan, K., Miro, J.V., et al.: Surface representation of pulsed eddy current sensor signals for improved ferromagnetic material thickness quantification[J]. IEEE Sensors Journal 21(4), 5413–5422 (2020)10.1109/JSEN.2020.3034571 ↗
11. Tian, G.Y., Sophian, A.: Reduction of lift-off effects for pulsed eddy current NDT. NDT E Int. 38(4), 319–324 (2005)10.1016/j.ndteint.2004.09.007 ↗
12. Yang, P., Fan, M., Cao, B., et al.: Investigation on time-to-peak characteristic insensitive to liftoff effect for pulsed eddy current evaluation[J]. IEEE Transactions on Instrumentation and Measurement 69(7), 5064–5071 (2019)10.1109/TIM.2019.2954011 ↗
13. Sreevatsan, S., George, B.: Simultaneous detection of defect and lift-off using a modified pulsed eddy current probe. IEEE Sens. J. 20(4), 2156–2163 (2019)10.1109/JSEN.2019.2949340 ↗
14. Duan, Z., Kang, Y., Chen, Y., et al.: Reduction of lift-off effect in pulsed eddy current testing for surface hardness classification of ferromagnetic steel. Measurement 205, 112191 (2022)10.1016/j.measurement.2022.112191 ↗
15. Wang, Y., Fan, M., Cao, B., et al.: Measurement of coating thickness using lift-off point of intersection characteristics from pulsed eddy current signals[J]. NDT & E International 116, 102333 (2020)10.1016/j.ndteint.2020.102333 ↗
16. Ali, A., Asif, A., Tian, G.Y., et al.: Directly-digitized pulsed eddy current based quantification of aluminum sheet thickness[J]. Measurement Science and Technology 34(12), 125902 (2023)10.1088/1361-6501/ace989 ↗
17. Huang, P., Li, Z., Long, J., et al.: Measurement of lift-off distance and thickness of nonmagnetic metallic plate using pulsed eddy current testing[J]. IEEE Transactions on Instrumentation and Measurement 72, 1–10 (2023)
18. Angani, C.S., Ramos, H.G., Ribeiro, A.L., et al.: Lift-off point of intersection characteristic in transient eddy-current oscillations method to detect thickness variation in stainless steel[J]. IEEE Transactions on Magnetics 52(6), 1–8 (2016)10.1109/TMAG.2016.2531024 ↗
19. Wen, D., Fan, M., Cao, B., et al.: Lift-off point of intersection in spectral pulsed eddy current signals for thickness measurement[J]. IEEE Sensors Letters 2(2), 1–4 (2018)10.1109/LSENS.2018.2822296 ↗
20. Xie, L., Gao, B., Tian, G.Y., et al.: Coupling pulse eddy current sensor for deeper defects NDT. Sens. Actuators A Phys. 293, 189–199 (2019)10.1016/j.sna.2019.03.029 ↗
21. Xin, J., Chen, J., Li, C., et al.: Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model[J]. Measurement 189, 110654 (2022)10.1016/j.measurement.2021.110654 ↗
22. Xue, J., Shen, B.: A novel swarm intelligence optimization approach: sparrow search algorithm. Syst. Sci. Control Eng. 8(1), 22–34 (2020)10.1080/21642583.2019.1708830 ↗