Wavelet Packet Transform and Deep Learning-based Fusion of Audio-Visual Signals: A Novel Approach for Enhancing Laser Cleaning Effect Evaluation
Author:
Funder
the Fujian Science and Technology Plan—— Foreign Cooperation Project
the Fujian Science and Technonlogy Plan STS Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40684-023-00589-2.pdf
Reference35 articles.
1. Zhu, G. D., Xu, Z. H., Jin, Y., Chen, X., Yang, L., Xu, J., Shan, D., Chen, Y., & Guo, B. (2022). Mechanism and application of laser cleaning: A review. Optics and Lasers in Engineering, 157, 107130. https://doi.org/10.1016/j.optlaseng.2022.107130
2. Han, J. H., Cui, X. D., Wang, S., Feng, G. Y., Deng, G., & Hu, R. (2017). Laser effects based optimal laser parameter identifications for paint removal from metal substrate at 1064nm: A multi-pulse model. Journal of Modern Optics, 64(19), 1947–1959. https://doi.org/10.1080/09500340.2017.1330433
3. Carvalho, L., Pacquentin, W., Tabarant, M., Semerok, A., & Maskrot, H. (2020). Metal decontamination by high repetition rate nanosecond fiber laser: Application to oxidized and Eu-contaminated stainless steel. Applied Surface Science, 526, 146654. https://doi.org/10.1016/j.apsusc.2020.146654
4. Wang, W. J., Sun, L. X., Lu, Y., Qi, L., Wang, W., & Qiao, H. (2022). Laser induced breakdown spectroscopy online monitoring of laser cleaning quality on carbon fiber reinforced plastic. Optics & Laser Technology, 145, 107481. https://doi.org/10.1016/j.optlastec.2021.107481
5. Zou, W. F., Song, F., & Luo, Y. (2021). Characteristics of audible acoustic signal in the process of laser cleaning of paint on metal surface. Optics & Laser Technology, 144, 107388. https://doi.org/10.1016/j.optlastec.2021.107388
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