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机译:基于两层支持向量回归机的滚动轴承故障模式和尺寸识别
Department of Systems Engineering & Engineering Management, City University of Hong Kong, China,School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
Department of Systems Engineering & Engineering Management, City University of Hong Kong, China;
School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
School of Engineering Science, University of Science and Technology of China, Hefei 230026, China;
Department of Systems Engineering & Engineering Management, City University of Hong Kong, China;
statistical parameters; bearing fault diagnosis; deterioration evaluation; a two-layer structure; support vector regression machine;
机译:基于模式谱熵的支持向量机在滚动轴承故障诊断中的应用
机译:基于自适应渔业的深卷积神经网络及其识别滚动元件轴承故障模式和尺寸的应用
机译:基于多尺度置换熵和改进支持向量机的二叉树滚动轴承故障诊断新方法
机译:基于小波包和支持向量机的滚动轴承故障模式识别
机译:融合支持向量机和软计算以进行模式识别和回归。
机译:时移多尺度模糊熵和拉普拉斯支持矢量机基滚动轴承故障诊断
机译:Chaos优化支持向量机滚动轴承故障诊断智能方法