畢業成員
鄒萬興
具學習性之高強健刀具磨耗智慧監控系統方法研究
Study of the robust tool-wear monitoring method and system with self-learning ability
林家彰
多功協同之機上誤差檢測補償、智慧自動組裝與流程監控方法研究與系統研製
Study and development of methods and a system for multi-function-collaboration-based on-machine error measurement/compensation, smart automated assembly, and SOP monitoring
陳亮圻
基於能源效率的CNC三軸工具機複合指標製程優化研究
Research on process optimization of composite index of CNC three-axis machine tool based on energy efficiency
黃子軒
CNC機台滾珠螺桿與軸承之異常智慧監控系統研究與開發
Research and Development of Intelligent Abnormal Monitoring Systems for Ball Screw and Bearings in CNC Machines
陳韋鈞
基於複合誤差分析之CNC五軸工具機設計優化與最適加工應用方法與系統研究
Research on Design Optimization and Optimal Processing Application Methods and Systems of CNC five-axis machine tools based on Hybrid Error Analysis
黃健瑋
刀具最適應用與加工參數優化之智慧系統研究
Research on an Intelligent System for Optimal Tool Application and Machining Parameter Optimization
黃柏穎
CNC智慧產線之線上加工誤差自動辨識、補償與精密動態匹配組裝方法與系統之研究
Study on Online Machining Error Automated Identification, Compensation, and Precision Matching Assembly Method and System for Intelligent CNC Production Line
曾畦菖
以複合AI模型為主之適多工況刀具磨耗智慧監控方法與系統研究
Study on intelligent monitoring methods and systems for tool wear under multiple working conditions based on hybrid AI models
林子晉
工具機主軸健康智慧監控方法與系統之研究-
以過度磨損、潤滑失效與預壓失效為例
Research on Intelligent Health-Monitoring Methods and System for Machine-Tool Spindles: A Case Study of Excessive Wear, Lubrication Failure, and Preload Loss
劉依婷
CNC 五軸與車銑複合工具機旋轉慣量自動辨識與 控制參數智慧調校策略之研究
An Study on Intelligent Control and Parameter Tuning Strategies of Rotational Inertia in CNC Five-Axis and Mill-Turn Machine Tools
林俊丞
應用人工智慧之產線精度提升、流程即時智慧監控與自動組裝方法與系統研究
Study on Methods and Systems for Production Line Precision Enhancement, Real-Time Intelligent Workflow Monitoring, and Automated Assembly Using Artificial Intelligence
姜子源
加工製程與刀具壽命之即時監控數位雙生系統研製
Development of a Real-Time Monitoring Digital Twin System for Machining Processes and Tool Life
佘家均
整合強化學習與複合AI模型之刀具剩餘壽命
智慧監控方法與系統研究
Research on an Intelligent Monitoring Method and System for Tool Remaining Useful Life
Based on Reinforcement Learning and Hybrid AI Models