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机译:基于多传感器融合的深度学习方法,用于旋转机械诊断
Huazhong Univ Sci &
Technol Sch Mech Sci &
Engn Wuhan 430074 Hubei Peoples R China;
Huazhong Univ Sci &
Technol Sch Mech Sci &
Engn Wuhan 430074 Hubei Peoples R China;
Georgia Inst Technol Woodruff Sch Mech Engn Atlanta GA 30332 USA;
Huazhong Univ Sci &
Technol Sch Mech Sci &
Engn Wuhan 430074 Hubei Peoples R China;
Huazhong Univ Sci &
Technol Sch Mech Sci &
Engn Wuhan 430074 Hubei Peoples R China;
Huazhong Univ Sci &
Technol Sch Mech Sci &
Engn Wuhan 430074 Hubei Peoples R China;
rotating machinery; fault diagnosis; multi-sensor fusion; deep feature learning; dimensionality reduction; state classification;
机译:基于多传感器融合的深度学习方法,用于旋转机械诊断
机译:深度故障识别器:去噪和提取特征的集成模型,用于旋转机械故障诊断
机译:深度故障识别器:去噪和提取特征的集成模型,用于旋转机械故障诊断
机译:基于物理的深度学习方法在旋转机械故障诊断中的应用
机译:基于模糊方法和隐马尔可夫模型的机械加工和旋转机械故障检测与诊断
机译:基于多峰特征融合的深度学习方法在旋转机械在线故障诊断中的应用
机译:基于多模式特征融合的旋转机械在线故障诊断的深度学习方法