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机译:基于机器学习算法铣削力数据智能处理的端铣过程新工具(单槽)条件监测方法
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Nanjing Univ Aeronaut &
Astronaut Coll Mech &
Elect Engn Nanjing 210016 Jiangsu Peoples R China;
Cutting force simulation; Manifold learning; Polynomial kernel SVM; Principal component analysis (PCA); Tool condition monitoring (TCM);
机译:基于机器学习算法铣削力数据智能处理的端铣过程新工具(单槽)条件监测方法
机译:基于内在的时间尺度分解的内核极端学习机方法,用于检测铣削过程中的工具磨损条件
机译:基于关联向量机的基于力的铣削刀具磨损监测系统
机译:基于过程中铣削力预测模型的虚拟铣削力监测方法,消除切割系数的预定
机译:通过模式分类和多类机器学习实现端铣削中智能刀具状态监测(TCM)的多传感器融合。
机译:用于根据原始传感器数据预测铣床状态的数据处理管道
机译:基于多源模式识别模型的铣削过程刀具条件监测