[1] [1] AMRUTHA K N, BHARATH Y K, JAYANTHI J. Aircraft engine fuel flow parameter prediction and health monitoring system[C]//2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), May 17-18, 2019, Bangalore, India. New York:IEEE, 2019: 39-44.

[2] [2] ZHONG S, LI Z, LIN L, et al. Aero-engine exhaust gas temperature prognostic model based on gated recurrent unit network[C]//2018 IEEE International Conference on Prognostics and Health Management (ICPHM), June 11-13, 2018, Seattle, WA, USA. New York:IEEE, 2018:1-5.

[3] [3] GEORGE B, MUTHUVEERAPPAN N. Life assessment of a high temperature probe designed for performance evaluation and health monitoring of an aero gas turbine engine[J]. International journal of turbo & jet-engines, 2020:000010151520200037.

[4] [4] ALLISON S W, GILLIES G T. Remote thermometry with thermographic phosphors:instrumentation and applications[J]. Review of scientific instruments, 1997, 68(7):2615-2650.

[5] [5] MEIER G E A. New optical tools for fluid mechanics[J]. Sadhana, 1998, 23(5-6):557-567.

[6] [6] VERSO L, LIBERZON A. Background oriented Schlieren in a density stratified fluid[J]. Review of scientific instruments, 2015, 86(10):103705.

[7] [7] RAJSHEKHAR G, AMBROSINI D. Multi-scale approach for analyzing convective heat transfer flow in background-oriented Schlieren technique[J]. Optics and lasers in engineering, 2018, 110:415-419.

[8] [8] LEE S, KIM S H, LEE H J, et al. Density acquisition and aero-optics measurement from BOS images for a hot jet[J]. International journal of aeronautical and space sciences, 2018, 19(3):563-574.

[9] [9] LEOPOLD F, OTA M, KLATT D, et al. Reconstruction of the unsteady supersonic flow around a spike using the colored background oriented Schlieren technique[J]. Journal of flow control measurement & visualization, 2013, 01(2):69-76.

[10] [10] SOURGEN F, LEOPOLD F, KLATT D. Reconstruction of the density field using the colored background oriented Schlieren technique (CBOS)[J]. Optics and lasers in engineering, 2012, 50(1):29-38.

[11] [11] LEOPOLD F, OTA M, KLATT D, et al. Reconstruction of the unsteady supersonic flow around a spike using the colored background oriented Schlieren technique[J]. Journal of flow control, measurement & visualization, 2013, 1(2):69-76.

[12] [12] RUBLEE E, RABAUD V, KONOLIGE K, et al. ORB: an efficient alternative to SIFT or SURF[C]//2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York:IEEE, 2011: 12491177.

[13] [13] DELPONTE E, ISGRO F, ODONE F, et al. SVD-matching using SIFT features[J]. Graphical models, 2005, 68(5-6):415-431.

[14] [14] ZHANG H, DONG K. Prediction of aero-engine exhaust gas temperature based on autoregressive integrated moving average model[C]//2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017), March 25-26, 2017, Beijing, China. Paris:Atlantis Press, 2017:477-480.

[15] [15] OETTINGER M, WEIN L, MIMIC D, et al. Automated detection of hot-gas path defects by support vector machine based analysis of exhaust density fields[J]. Journal of the global power and propulsion society, 2021, Special issue:data-driven modelling and high-fidelity simulations:1-16.