机译:基于AR模型和模糊聚类分析的滚动轴承退化评估与故障诊断。
College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China,Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China;
Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
degradation assessment; fault diagnosis; ar mode; higher-order statistics; fuzzy cluster analysis;
机译:基于AR模型和模糊聚类分析的滚动轴承退化评估与故障诊断。
机译:基于EMD和AR模型的滚动轴承故障诊断方法
机译:滚子轴承故障诊断使用堆积的去噪自动化器在深度学习和Gath-Geva聚类算法中,没有主成分分析和数据标签
机译:基于BISPectrum估计和模糊聚类分析的滚子轴承故障诊断
机译:旋转机械中滚动轴承故障的分析:实验,建模,故障检测和诊断。
机译:基于振动分析的电机滚动轴承变工况顺序模糊诊断方法
机译:基于非线性冗余提升小波包分析的滚动轴承故障诊断