机译:双重增强的稀疏分解在风力发电机齿轮箱故障诊断中的应用
School of Rail Transportation, Soochow University, Suzhou, China;
School of Rail Transportation, Soochow University, Suzhou, China;
School of Rail Transportation, Soochow University, Suzhou, China;
School of Rail Transportation, Soochow University, Suzhou, China;
School of Rail Transportation, Soochow University, Suzhou, China;
Fault diagnosis; Harmonic analysis; Vibrations; Cost function; Q-factor; Transient analysis; Feature extraction;
机译:风力发电机组变速箱早期故障的特征信息提取较弱关键词风力发电机组变速箱B奇异值分解局部均值分解弱特征信息提取早期故障预警
机译:基于稀疏贝叶斯极限学习机的风电齿轮箱多故障快速诊断
机译:基于冗余字典并集的稀疏特征识别在风电齿轮箱故障诊断中的应用
机译:基于冗余字典和基本追踪去噪的风力发电机齿轮箱故障稀疏表示
机译:利用神经网络和深层学习技术对风力涡轮机系统的故障诊断
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:风力涡轮机变速箱的故障诊断结合了与Wigner Bi-Spectrum熵的集合内在时间尺度分解