[1] [1] ZHAO B, XIE L, LI H, et al. Reliability analysis of aero-engine compressor rotor system considering cruise characteristics［J］. IEEE Transactions on Reliability, 2019, 69(1):245-259.

[2] [2] LI Z, MIHAYLOVA L S, ISUPOVA O, et al. Autonomous flame detection in videos with a Dirichlet process Gaussian mixture color model［J］. IEEE Transactions on Industrial Informatics, 2017, 14(3):1146-1154.

[3] [3] LI D, LI Y, XIE Q, et al. Tiny defect detection in high-resolution aero-engine blade images via a coarse-to-fine framework［J］. IEEE Transactions on Instrumentation and Measurement, 2021, 70:1-12.

[4] [4] SHANG H, WU J, SUN C, et al. Global prior transformer network in intelligent borescope inspection for surface damage detection of aero-engine blade［J］. IEEE Transactions on Industrial Informatics, 2022, 19(8):8865-8877. .

[5] [5] REDMON J, FARHADI A. YOLOv3: An incremental improvement［EB/OL］. (2018-04-08)［2023-11-10］. https://arxiv.org/abs/1804.02767.

[6] [6] DONG H, SONG K, HE Y, et al. PGA-Net: Pyramid feature fusion and global context attention network for automated surface defect detection［J］. IEEE Transactions on Industrial Informatics, 2019, 16(12):7448-7458.

[7] [7] YU J, JIANG Y, WANG Z, et al. UnitBox: An advanced object detection network［C］//24th ACM international Conference on Multimedia, October 15-19, 2016, Amsterdam, The Netherland. New York: ACM, 2016:516-520.

[8] [8] LIN T Y, GOYAL P, GIRSHICK R, et al. Focal loss for dense object detection［C］//IEEE International Conference on Computer Vision, October 22-29, 2017, Venice, Italy. New York: IEEE, 2017:2980-2988.

[11] [11] LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector［C］//Computer Vision-ECCV 2016:14th European Conference, October 11-14, 2016, Amsterdam, The Netherlands. Cham: Springer International Publishing, 2016:21-37.

[12] [12] GUO G, ZHANG Z. Road damage detection algorithm for improved YOLOv5［J］. Scientific Reports, 2022, 12(1):15523.

[13] [13] GIRSHICK R. Fast R-CNN［C］//IEEE International Conference on Computer Vision, December 7-13, 2015, Santiago, Chile. New York: IEEE, 2015:1440-1448.

[14] [14] WANG C Y, BOCHKOVSKIY A, LIAO H Y M. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors［C］//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 17-24, 2023. Vancouver, BC, Canada. New York: IEEE, 2023:7464-7475.

[15] [15] FAROOQ J, MUAZ M, KHAN JADOON K, et al. An improved YOLOv8 for foreign object debris detection with optimized architecture for small objects［J］. Multimedia Tools and Applications, 2024, 83(21):60921-60947.