Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Zhuzhou, China;
Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Zhuzhou, China;
Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Zhuzhou, China;
Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Zhuzhou, China;
Aviation Key Laboratory of Aero-engine Vibration Technology, China Aviation Powerplant Research Institute, Zhuzhou, China;
Entropy; Support vector machines; Vibrations; Training; Time-frequency analysis; Fault diagnosis; Frequency modulation;
机译:基于小波能熵和LS-SVM的滚动轴承的状态监测及早期故障诊断
机译:基于最小熵反卷积和快速Kurtogram算法的滚动轴承早期弱故障的故障诊断
机译:滚动轴承故障使用基于多尺度主成分分析和模糊技术的组合方法严重分类
机译:基于LMD样品熵和LS-SVM的滚动轴承故障分类
机译:基于神经网络的旋转机械轴承故障分类:振动测量与功率测量的增强。
机译:一种基于K优化自适应局部迭代过滤和改进的多尺度置换熵的滚动轴承故障分类方案
机译:基于小波能量熵和Ls-sVm的滚动轴承状态监测与早期故障诊断