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Aluminum Alloy Fatigue Crack Damage Prediction Based on Lamb Wave-Systematic Resampling Particle Filter Method

Gaozheng Zhao1, Changchao Liu1, Lingyu Sun1, Ning Yang2, Lei Zhang1, Mingshun Jiang1, Lei Jia1, Qingmei Sui1,*

1 College of Control Science and Engineering, Shandong University, Jinan, 250061, China
2 Shandong Institute of Space Electronic Technology, Yantai, 264010, China

* Corresponding Author: Qingmei Sui. Email: email

Structural Durability & Health Monitoring 2022, 16(1), 81-96. https://doi.org/10.32604/sdhm.2022.016905

Abstract

Fatigue crack prediction is a critical aspect of prognostics and health management research. The particle filter algorithm based on Lamb wave is a potential tool to solve the nonlinear and non-Gaussian problems on fatigue growth, and it is widely used to predict the state of fatigue crack. This paper proposes a method of lamb wave-based early fatigue microcrack prediction with the aid of particle filters. With this method, which the changes in signal characteristics under different fatigue crack lengths are analyzed, and the state- and observation-equations of crack extension are established. Furthermore, an experiment is conducted to verify the feasibility of the proposed method. The Root Mean Square Error (RMSE) of the three different resampling methods are compared. The results show the system resampling method has the highest prediction accuracy. Furthermore, the factors affected by the accuracy of the prediction are discussed.

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APA Style
Zhao, G., Liu, C., Sun, L., Yang, N., Zhang, L. et al. (2022). Aluminum alloy fatigue crack damage prediction based on lamb wave-systematic resampling particle filter method. Structural Durability & Health Monitoring, 16(1), 81-96. https://doi.org/10.32604/sdhm.2022.016905
Vancouver Style
Zhao G, Liu C, Sun L, Yang N, Zhang L, Jiang M, et al. Aluminum alloy fatigue crack damage prediction based on lamb wave-systematic resampling particle filter method. Structural Durability Health Monit . 2022;16(1):81-96 https://doi.org/10.32604/sdhm.2022.016905
IEEE Style
G. Zhao et al., "Aluminum Alloy Fatigue Crack Damage Prediction Based on Lamb Wave-Systematic Resampling Particle Filter Method," Structural Durability Health Monit. , vol. 16, no. 1, pp. 81-96. 2022. https://doi.org/10.32604/sdhm.2022.016905



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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