机译:基于特征提取与分类的风机齿轮箱振动分析算法比较
Univ Strathclyde Dept Elect & Elect Engn 204 George St Glasgow G1 1XW Lanark Scotland;
wind power plants; maintenance engineering; fault diagnosis; mechanical engineering computing; pattern recognition; wind turbines; vibrations; gears; condition monitoring; feature extraction; diagnostic algorithms; classification accuracy; wind turbine gearbox vibration analysis algorithms; feature extraction; health state assessment; wind turbine components; vital aspect; wind farm operations; maintenance costs; costly components; vibration condition monitoring; popular existing gear; diagnostic methods; vibration signals; pattern recognition algorithms; historic vibration data; operational wind turbines; healthy operating condition;
机译:基于稀疏成分分析的欠定盲源分离技术用于风力发电机齿轮箱轴承故障特征提取
机译:基于改进自适应变形模式分解的变速下风力涡轮机齿轮箱的故障特征提取
机译:风力涡轮机行星齿轮箱特征提取和故障诊断使用基于深度学习的方法
机译:双谱分析用于风轮机齿轮箱点蚀故障特征提取
机译:基于综合的预测条件维护方法,以减少风力涡轮机齿轮箱组件的过早失效
机译:基于支持向量回归模型的风力涡轮机齿轮箱状态监测及剩余分析
机译:使用传递路径分析来评估轴承对风力发电机齿轮箱结构振动的影响
机译:目标检测与分类特征提取算法的性能比较。