
个人简历:
高志列,男,博士研究生。
主要履历:
202104-202506南京航空航天大学 机械工程 博士
201509-201804南京航空航天大学 载运工具运用工程 硕士
201009-201406南京航空航天大学 机械电子工程 学士
电子邮箱:
gaozhilie@chzu.edu.cn
主讲课程:
离散数学
研究方向:
数字孪生驱动的制造装备智能决策与控制系统研究、智能监测算法研究等。
科学研究:
·主要论文
1. Gao Z, Chen N, Li L, et al. A novel algorithm for tool wear monitoring utilizing model and Knowledge-Guided Multi-Expert weighted adversarial deep transfer learning [J]. Mechanical Systems and Signal Processing, 2025,228:112456.
2. Gao Z, Chen N, Li L, et al. An innovative multisource multibranch metric ensemble deep transfer learning algorithm for tool wear monitoring[J]. Advanced Engineering Informatics, 2024,62:102659.
3. Gao Z, Chen N, Li L, et al. An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring[J]. Journal of Manufacturing Processes, 2023,124:261-281.
4. Gao Z, Li L, Song J, et al. A pipeline methodology for melanoma detection using Developed design of the Archimedes optimizer[J]. Biomedical Signal Processing and Control, 2022,97:106732.
5. Gao Z, Li L. Adaptive optimization of cutting parameters in milling industry considering dynamic tool wear in intelligent manufacturing driven by reinforcement learning[J]. The International Journal of
Advanced Manufacturing Technology, 2022,133(9):4751-4760.
6. Gao Z, Chen N, Li L, et al. An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account[J]. Measurement, 2024,242:116075.
