机译:新型振动模型和经验小波变换的风电齿轮箱复合故障诊断与分析
North China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China;
Luneng New Energy Grp Co Ltd, Beijing 100020, Peoples R China;
North China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China;
North China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China;
North China Elect Power Univ, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China;
Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China;
Wind turbine gearbox; Compound faults; Modulation model; Empirical wavelet transform;
机译:利用测得的振动信号通过经验小波变换对风力发电机组轴承进行故障诊断
机译:基于离散小波变换的特征提取在风机齿轮箱齿轮故障诊断中的应用
机译:基于复小波变换的风力发电机齿轮箱多故障检测与故障分析
机译:基于小波变换的风力发电机齿轮箱故障振动信号分析
机译:用于早期故障检测的行星齿轮箱振动数据的分析和建模。
机译:基于余弦损失的优化LSTM神经网络的风力发电机齿轮箱故障诊断。
机译:非平稳条件下风力机行星齿轮箱故障诊断的联合高阶同步压缩变换和多锥经验小波变换