机译:广义l_pl_q范数的稀疏滤波及其在旋转机械状态监测中的应用。
NSFI/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA;
NSFI/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA,School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
NSFI/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA;
NSFI/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA;
NSFI/UCR Center for Intelligent Maintenance Systems, Department of Mechanical Engineering, University of Cincinnati, PO Box 210072, Cincinnati, OH 45221-0072, USA;
Minimum entropy deconvolution; Sparse filtering; Rotating machinery; Incipient fault detection; Deep learning;
机译:旋转机械故障诊断的广义稀疏滤波
机译:增强稀疏滤波,具有强大的噪声适应性及其在旋转机械故障诊断中的应用
机译:Elman的递归神经网络在核电厂和旋转机械状态监测中的应用
机译:数字跟踪滤波器在旋转机械状态监测中的应用
机译:进行振动监测的旋转机械的诊断模型,用于基于状态的维护。
机译:通过振动分析的低成本高频数据采集系统用于旋转机械状态监测
机译:复杂振动数据的二元分析:在旋转机械状态监测中的应用