机译:基于数据驱动的块阈值的多小波去噪的风机故障检测
State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, 710049 Xi'an, PR China;
State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, 710049 Xi'an, PR China;
State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, 710049 Xi'an, PR China;
Wind turbine; Fault detection; Multiwavelet denoising; Data-driven block threshold; Rolling element bearing;
机译:具有数据驱动组阈值的定制最大重叠多小波去噪,用于轧机传动系统状态监测
机译:在线检测现代风力涡轮机不同运行区域中的组件和系统故障的数据驱动算法
机译:基于小波阈值基于船用涡轮机的不平衡故障检测方法
机译:多小波以数据驱动块阈值用于管道缺陷检测
机译:数据驱动和基于模型的轴承故障分析-风力发电机应用。
机译:用于风轮机传感器故障检测的多尺度时空卷积深度置信网络
机译:基于小波阈值基于船用涡轮机的不平衡故障检测方法
机译:最终技术报告恢复法案:风力涡轮机的在线非侵入式状态监测和故障检测。