[1] Liu R D, Jiang S M, Yu H J et al. Preparation and hot corrosion behaviour of Pt modified AlSiY coating on a Ni-based superalloy[J]. Corrosion Science, 104, 162-172(2016).

[2] Zagula-Yavorska M, Sieniawski J. Cyclic oxidation of palladium modified and nonmodified aluminide coatings deposited on nickel base superalloys[J]. Archives of Civil and Mechanical Engineering, 18, 130-139(2018).

[3] Smith A B, Ng S M. Aluminide diffusion coatings on Ni-base superalloys[J]. Transactions of the IMF, 74, 64-65(1996).

[4] Tao M, Ouyang X Z, Wang X J et al. Analysis and prevention of tenon fracture of grade Ⅰ low pressure turbine blade in engine[J]. Failure Analysis and Prevention, 13, 393-396(2018).

[5] Dwivedi S K, Vishwakarma M, Soni P A. Advances and researches on non destructive testing: a review[J]. Materials Today: Proceedings, 5, 3690-3698(2018).

[6] Kumar S, Mahto D. Recent trends in industrial and other engineering applications of non destructive testing: a review[J]. Social Science Electronic Publishing, 157, 1055-1065(2016).

[7] Chen Y, Zhang C, Xiao C Y et al. Study on prediction model of soil cadmium content moisture content correction based on GWO-SVR[J]. Acta Optica Sinica, 40, 1030002(2020).

[8] Laguitton D, Parrish W. Simultaneous determination of composition and mass thickness of thin films by quantitative X-ray fluorescence analysis[J]. Analytical Chemistry, 49, 1152-1156(1977).

[9] Jain S K, Gupta P P, Eapen A C. An X-ray fluorescence method for coating thickness measurement[J]. X-Ray Spectrometry, 8, 11-13(1979).

[10] Cao L G, Ding Y M, Ao Q. The thickness measurement of layers bassed on XRF[J]. Journal of Chengdu University of Technology (Sci & Technol Ed), 19, 106-114(1992).

[11] de Almeida E, Melquiades F L, Marques J P R et al. Determination of the polymeric thin film thickness by energy dispersive X-ray fluorescence and multivariate analysis[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 167, 105818(2020).

[12] Liu J C, Wang C, Dai P L. Study of the measurement of the thickness of diffusion aluminizing layer based on X-ray fluorescence[J]. Nuclear Techniques, 43, 62-69(2020).

[13] Chen T Q, Guestrin C. XGBoost: a scalable tree boosting system[C], 785-794(2016).

[14] Zhao X C, Hu A M, He W. Fall detection based on convolutional neural network and XGBoost[J]. Laser & Optoelectronics Progress, 57, 161024(2020).

[15] Tao M Q, Liu J X, Wu Y et al. Application of XGBoost in gas infrared spectral recognition[J]. Acta Optica Sinica, 40, 0730002(2020).

[16] Zhang A W, Dong Z, Kang X Y. Feature selection algorithms of airborne LiDAR combined with hyperspectral images based on XGBoost[J]. Chinese Journal of Lasers, 46, 0404003(2019).

[17] Kadachi A N, Al-Eshaikh M A. Limits of detection in XRF spectroscopy[J]. X-Ray Spectrometry, 41, 350-354(2012).

[18] Zhao Y, Qu G P, Hu C Y et al. Research on the technique of transmission characteristic X-ray thickness measurement[J]. Nuclear Electronics & Detection Technology, 29, 81-83, 104(2009).

[19] Wang H W[M]. Partial least-squares regression-method and applications(1999).

[20] Schober P, Boer C, Schwarte L A. Correlation coefficients: appropriate use and interpretation[J]. Anesthesia and Analgesia, 126, 1763-1768(2018).