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机译:基于核邻域粗糙集和统计特征的滚动轴承智能故障诊断
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, 710049, China;
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, 710049, China;
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, 710049, China;
Intelligent fault diagnosis; Feature selection; Kernel method; Neighborhood rough sets;
机译:基于核邻域粗糙集和统计特征的滚动轴承智能故障诊断
机译:智能诊断滚动轴承复合故障基于设备状态词典集稀疏分解特征提取 - 隐藏马尔可夫模型
机译:基于正交邻域保留嵌入和adaboost_svm算法的敏感特征集的模式识别滚动轴承早期故障诊断
机译:基于粗糙集和依赖性特征向量的故障诊断滚动元件轴承
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:基于综合权重策略特征学习的滚动轴承智能故障诊断新方法
机译:基于树启发式特征选择的滚动轴承故障诊断和依赖特征向量与粗糙集合结合