[1] Feng Song, Shujing Liu, Boxia Yan. Laser cleaning. Cleaning World, 20, 43-48, 60(2004).
[2] Bin Tian, Wanfang Zou, Zhen He, et al. Paint removal experiment with pulsed Nd: YAG laser. Cleaning World, 23, 1-5(2007).
[3] G Zhu, Z Xu, Y Jin, et al. Mechanism and application of laser cleaning: A review. Optics and Lasers in Engineering, 157, 107130(2022).
[4] Song Feng. Laser Cleaning its Applications [M]. Beijing: Tsinghua University Press, 2021. (in Chinese)
[5] J M Lee, K G Watkins. In-process monitoring techniques for laser cleaning. Optics and Lasers in Engineering, 34, 429-442(2000).
[6] Watkins K G, Chen X, Fujioka T, et al. Mechanisms of laser cleaning [C]Proceedings of SPIE, 2000, 3888: 165174.
[7] Ye Ding, Yao Xue, Jihong Pang, et al. Advances in in-situ monitoring technology for laser processing. Sci Sin-Phys Mech Astron, 49, 56-74(2019).
[8] Chenghong Duan, Xiaokui Chen, Xiangpeng Luo. Application prospect of laser cleaning in petrochemical field. Opto-Electronic Engineering, 47, 3-15(2020).
[9] G J Tserevelakis, I Vrouvaki, P Siozos, et al. Photoacoustic imaging reveals hidden underdrawings in paintings. Scientific Reports, 7, 1-11(2017).
[10] F Brygo, C Dutouquet, Guern F Le, et al. Laser fluence, repetition rate and pulse duration effects on paint ablation. Applied Surface Science, 252, 2131-2138(2006).
[11] Yun Chen, Haipeng Huang, Shaowei Ye. Research on acoustic monitoring technology of laser paint removal process. Applied Laser, 1153-1159(2020).
[12] S Palanco, J Laserna. Spectral analysis of the acoustic emission of laser-produced plasmas. Applied Optics, 42, 6078-6084(2003).
[13] G J Tserevelakis, J S Pozo-antonio, P Siozos, et al. On-line photoacoustic monitoring of laser cleaning on stone: Evaluation of cleaning effectiveness and detection of potential damage to the substrate. Journal of Cultural Heritage, 35, 108-115(2019).
[14] W Duley, Y Mao. The effect of surface condition on acoustic emission during welding of aluminium with CO2 laser radiation. Journal of Physics D: Applied Physics, 27, 1379(1994).
[15] M Cooper, D Emmony, J Larson. Characterization of laser cleaning of limestone. Optics & Laser Technology, 27, 69-73(1995).
[16] Y Lu, Y Lee, M Hong, et al. Acoustic wave monitoring of cleaning and ablation during excimer laser interaction with copper surfaces. Applied Surface Science, 119, 137-146(1997).
[17] Jun Xu, Zhenyong Sun, Wenming Zhou, et al. Real-time monitoring technigue for laser cleaning rust deposite. Acta Photonica Sinica, 1090-1092(2002).
[18] Y Tong, Q Shen, M Cao, et al. Acoustic monitoring during rust removal by dry laser cleaning. International Journal of Nonlinear Science, 16, 225-229(2013).
[19] A E Villarreal-villela, L P Cabrera. Monitoring the laser ablation process of paint layers by PILA technique. Open Journal of Applied Sciences, 6, 626-635(2016).
[20] Y Chen, G L Deng, Q Zhou, et al. Acoustic signal monitoring in laser paint cleaning. Laser Physics, 30, 066001(2020).
[21] W Zou, F Song, Y Luo. Characteristics of audible acoustic signal in the process of laser cleaning of paint on metal surface. Optics & Laser Technology, 144, 107388(2021).
[22] Guoqing Hu, Yingchun Guan. Research progress of spectral measurement on the on-line monitoring of laser processing. Spectroscopy and Spectral Analysis, 41, 2343-2356(2021).
[23] F Anabitarte, A Cobo, Higuera J M Lopez. Laser-induced breakdown spectroscopy: Fundamentals, applications, and challenges. ISRN Spectroscopy, 2012, 1-12(2012).
[24] Li Wei. Research on mechanisms of laser rust removal manufacture of laser cleaning devices[D]. Nankai: Nankai University, 2014. (in Chinese)
[25] J Rakovský, P Čermák, O Musset, et al. A review of the development of portable laser induced breakdown spectroscopy and its applications. Spectrochimica Acta Part B: Atomic Spectroscopy, 101, 269-287(2014).
[26] Qian Z R. Study on online moniting feedback of laserbased controlled paint removal through LIBS technology[D]. Guanghan: Civil Aviation Flight University of China, 2022. (in Chinese)
[27] I Gobernado-Mitre, A C Prieto, V Zafiropulos, et al. On-line monitoring of laser cleaning of limestone by laser-induced breakdown spectroscopy and laser-induced fluorescence. Applied Spectroscopy, 51, 1125-1129(1997).
[28] S Klein, J Hildenhagen, K Dickmann, et al. LIBS-spectroscopy for monitoring and control of the laser cleaning process of stone and medieval glass. Journal of Cultural Heritage, 1, S287-S292(2000).
[29] M S Majewski, C Kelley, W Hassan, et al. Laser induced breakdown spectroscopy for contamination removal on engine-run thermal barrier coatings. Surface & Coatings Technology, 205, 4614-4619(2011).
[30] Yanqun Tong, Yongkang Zhang, Hongbing Yao, et al. Real-time monitoring system for laser derusting based on plasma intensity. Chinese Journal of Lasers, 38, 1003009(2011).
[31] Hongbing Yao, Wenlong Yu, Yaru Li, et al. Analysis of laser cleaning of iron in air based on characteristics of plasma spectra. Acta Photonica Sinica, 42, 1295-1299(2013).
[32] Kangxi Chen, Guoying Feng, Guoliang Deng, et al. Study on the mechanism of laser paint removal based on emission spectrum and composition analysis. Spectroscopy and Spectral Analysis, 36, 2956-2960(2016).
[33] H A Jasim, A G Demir, B Previtali, . et al. Process development and monitoring in stripping of a highly transparent polymeric paint with ns-pulsed fiber laser. Optics & Laser Technology, 93, 60-66(2017).
[34] Lanxiang Sun, Wenju Wang, Lifeng Qi, et al. Online monitoring of laser cleaning effect of carbon fiber composite materials based on laser-Induced breakdown spectroscopy technology. Chinese Journal of Lasers, 47, 1111003(2020).
[35] Yanqun Tong, Qinhui Lu, Jianzhong Zhou, et al. On-line plasma spectrum detection of laser cleaning of aluminum alloy before welding. Spectroscopy and Spectral Analysis, 40, 255-260(2020).
[36] Wenfeng Yang, Ziran Qian, Yu Cao, et al. LIBS monitoring and analysis of laser-based layered controlled paint removal from aircraft skin. Journal of Spectroscopy, 2021, 4614388(2021).
[37] Singh J P, Thakur S N. LaserInduced Breakdown Spectroscopy [M]. Amsterdam: Elsevier, 2020.
[38] Xiangyu Li, Shigong Wang, Mingguo Ye, et al. The time resolved laser induced breakdown spectroscopy system based on PMT. Instrumentation Technology, 26-29(2018).
[39] Qianjin Guo, Haibin Yu, Yong Xing, et al. Experimental study on high alloy steel sample by laser-induced breakdown spectroscopy. Spectroscopy and Spectral Analysis, 30, 783-787(2010).
[40] Cadwell L, Belliveau J, Huwell L, et al. LIBS vs TRELIBSThe relative merits of laserinduced breakdown spectroscopy versus time resolved laserinduced breakdown spectroscopy [C]SPIE, 1986, 644: 1619.
[41] Lin Chen, Guoliang Deng, Guoying Feng, et al. Study on the mechanism of laser paint removal based on LIBS and time resolved characteristic signal. Spectroscopy and Spectral Analysis, 38, 367-371(2018).
[42] Q Zhou, G Deng, Y Chen, et al. Laser paint removal monitoring based on time-resolved spectroscopy. Applied Optics, 58, 9421-9425(2019).
[43] N Dietz, N Sukidi, C Harris, et al. Real-time monitoring of surface processes by p-polarized reflectance. Journal of Vacuum Science & Technology A, 15, 807-815(1997).
[44] Lee J M, Watkins K G, Steen W M. Realtime moniting expert control of laser cleaning [C]ICALEO® 2000: Proceedings of the Laser Materials Processing Conference, 2000.
[45] D J Whitehead, P L Crouse, M J J Schmidt, et al. Monitoring laser cleaning of titanium alloys by probe beam reflection and emission spectroscopy. Applied Physics A, 93, 123-127(2008).
[46] S Marimuthu, A M Kamara, D Whitehead, et al. Laser removal of TiN coatings from WC micro-tools and in-process monitoring. Optics & Laser Technology, 42, 1233-1239(2010).
[47] P Moretti, M Iwanicka, K Melessanaki, et al. Laser cleaning of paintings: in situ optimization of operative parameters through non-invasive assessment by optical coherence tomography (OCT), reflection FT-IR spectroscopy and laser induced fluorescence spectroscopy (LIF). Heritage Science, 7, 1-12(2019).
[48] Y Song, G Hu, Z Zhang, et al. Real-time spectral response guided smart femtosecond laser bone drilling. Optics and Lasers in Engineering, 128, 106017(2020).
[49] F I Allen, E Kim, N C Andresen, et al. In situ TEM raman spectroscopy and laser-based materials modification. Ultramicroscopy, 178, 33-37(2016).
[50] V Papadakis, A Loukaiti, P Pouli. A spectral imaging methodology for determining on-line the optimum cleaning level of stonework. Journal of Cultural Heritage, 11, 325-328(2010).
[51] Yu Hongbin. Laser cleaning technology research on metal surface[D]. Wuhan: Huazhong University of Science & Technology, 2015. (in Chinese)
[52] H Liang. Advances in multispectral and hyperspectral imaging for archaeology and art conservation. Applied Physics A, 106, 309-323(2012).
[53] C Fischer, I Kakoulli. Multispectral and hyperspectral imaging technologies in conservation: current research and potential applications. Studies in Conservation, 51, 3-16(2006).
[54] Cucci C, Casini A. Hyperspectral Imaging f Artwks Investigation [M]Data Hling in Science Technology. Amsterdam: Elsevier, 2020: 583604.
[55] A Ramil, D Vázquez-Nion, J S Pozo-Antonio, et al. Using hyperspectral imaging to quantify phototrophic biofilms on granite. Journal of Environmental Informatics, 35, 34-44(2020).
[56] C Cucci, Pascale O De, G S Senesi. Assessing laser cleaning of a limestone monument by fiber optics reflectance spectroscopy (FORS) and visible and near-Infrared (VNIR) hyperspectral imaging (HSI). Minerals, 10, 1052(2020).
[57] J Striova, R Fontana, M Barucci, et al. Optical devices provide unprecedented insights into the laser cleaning of calcium oxalate layers. Microchemical Journal, 124, 331-337(2016).
[58] Tianyi Shi, Longzao Zhou, Chunming Wang, et al. Machine vision-based real-time monitor system for laser cleaning aluminum alloy. Chinese Journal of Lasers, 46, 0402007(2019).
[59] Mengqiao Zhang, Huixin Dai, Yunhao Zheng, et al. Research on laser cleaning detection of train paint coating based on color conversion. Applied Laser, 40, 644-648(2020).
[60] J C Li, H T Liu, L M Shi, et al. Imaging feature analysis-based intelligent laser cleaning using metal color difference and dynamic weight dispatch corrosion texture. Photonics, 7, 130(2020).
[61] Weijun Liu, Zeqi Tian, Hongyou Bian, et al. Laser cleaning detection method for rust layer of steel based on machine vision. Applied Laser, 41, 1287-1292(2021).
[63] B Sun, C Xu, J He, et al. Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks. Applied Physics A: Materials Science & Processing, 126, 949-957(2020).
[64] A Papanikolaou, G J Tserevelakis, K Melessanaki, et al. Development of a hybrid photoacoustic and optical monitoring system for the study of laser ablation processes upon the removal of encrustation from stonework. Opto-Electronic Advances, 3, 2190037(2020).
[65] Rongwei Zha, Lidong Yu, Ben Li, et al. Laser cleaning process monitoring of metal surface based on image processing and LIPS analysis. Acta Photonica Sinica, 50, 0714001(2021).
