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机译:基于时延图模型和主成分分析的故障预测策略
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
School of Computer Science and Engineering, Southeast University, Nanjing 210096, China;
Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China;
机译:基于小波包变换的主成分分析和核主成分分析的齿轮故障特征提取与分类
机译:基于主成分分析的核电站传感器故障检测的鲁棒策略
机译:基于核主成分分析和使用二次采样叶尖定时信号的灰色模型的叶片损伤预测
机译:使用主成分分析和极限学习机的流程故障的数据驱动故障诊断和预后
机译:基于主成分分析的故障检测和隔离。
机译:基于信息传感器选择和功能主成分分析的自适应退化建模的飞机发动机预测
机译:基于局部均值分解shannon熵和改进核主成分分析模型的故障特征提取方法