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黄飞
2025-11-04 11:20  

   黄飞,工学博士,副教授,江苏省人工智能学会不确定性人工智能专委会委员,主要研究领域:智能维护,机器视觉等。在《Mechanical Systems and Signal Processing》等国际顶级学术期刊发表论文多篇,并担任《ISA TRANSACTION》等国际顶级学术期刊审稿人。教学方面,主讲多门专业课程,曾获第八届全国高等学校电子信息类专业青年教师授课竞赛华东赛区二等奖,全国三等奖等奖项。


  近年发表的部分学术论文

l W. Li, F. Huang, ... , and S. Deng, “Hybrid cold spray additive-subtractive manufacturing with adaptive path planning for autonomous repair of complex geometrical defects”, J. Manuf. Process, vol. 152, pp. 1037-1050, 2025. (领域内权威期刊,中科院 1 区)

l W. Li, H. Wu, F. Huang, H. Liao, and S. Deng, “Revolutionizing Repair and Production: An Integrated Modular Cold Spray Additive Manufacturing System,” J. Therm. Spray Technol., vol. 34, no. 2, pp. 531– 549, 2025. (领域内权威期刊)

l F. Huang, W. Li, R. N. Raoelison, C. Verdy, H. Liao, and S. Deng, “A Three-Dimensional Damaged Region Contour Extraction Approach for Cold Spray Repair,” J. Therm. Spray Technol., vol. 33, no. 4, pp. 858–868, 2024. (领域内权威期刊,2024 Editor’s Choice article

l F. Huang, A. Sava, K. H. Adjallah, and D. Zhang, “A mixture distributions analysis based feature selection approach for bearing remaining useful life estimation,” SN Appl. Sci., vol. 5, no. 11, p. 302, 2023.

l Y. Fan, T. Sui, K. Peng, Y. Sang, and F. Huang, “Study on load monitoring and demand side management strategy based on Elman neural network optimized by sparrow search algorithm,” Circuit World, vol. 49, no. 1, pp. 56–66, Jan. 2023.

l F. Huang, A. Sava, K. H. Adjallah, Z. Wang, “Fuzzy model identification based on mixture distribution analysis for bearings remaining useful life estimation using small training data set,” Mech. Syst. Signal Process., vol. 148, pp. 107173, 2021. (领域内权威期刊,中科院 1 区)

l F. Huang, A. Sava, K.H. Adjallah, Z. Wang, “Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation,” International Journal of Mechatronics and Automation (IJMA), Vol. 7, No. 1, 2020.

l F. Huang, A. Sava, K. H. Adjallah, and Z. Wang, “Data Piecewise Linear Approximation for Bearings Degradation Monitoring,” in the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019, pp. 60–64.

l F. Huang, A. Sava, K. H. Adjallah, and Z. Wang, “Bearings Degradation Monitoring Indicator Based on Segmented Hotelling T Square and Piecewise Linear Representation,” in 2018 IEEE International Conference on Mechatronics and Automation (ICMA), 2018, pp. 1389–1394.

l Y. Fan, Y. Sang, Q. Kong, F. Huang, Q. Chen, and B. Liu, “Voltage Transient Signal De-noising Based on Wavelet Decomposition Level,” in Advances in Mechanical and Electronic Engineering, Springer, 2013,  pp. 49–54.

l Y. Sang, C. Xu, B. Liu, Q. Kong, F. Huang, and G. Mao, “TS fuzzy neural network algorithm application in nonlinear control,” in Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia, 2011, pp. 165–172.

l Y. Sang, S. Wu, M. Li, Y. Gao, H. Li, F. Huang, Y. Hao, Y. Fan, “Vehicle Sensor Self-Powered Technology

Research Based on Piezoelectric,” Indones. J. Electr. Eng., vol. 15, no. 3, pp. 452 ~ 457, 2015.

l N. Fu and F. Huang, “Research on NIR calibration model of corn starch content based on subset selecting and a series of PLS method,” J. Anhui Agric. Sci., vol. 39, no. 36, pp. 22571–22573, 2011.


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