文章名稱引用次數(shù)

• Machinery health prognostics: A systematic review from data acquisition to RUL prediction163
• Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization81
• Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing60
• Dynamic modeling of gearbox faults: A review54
• Mechanical model development of rolling bearing-rotor systems: A review38
• Simulation-driven machine learning: Bearing fault classification34
• A data indicator-based deep belief networks to detect multiple faults in axial piston pumps33
• Bolt early looseness monitoring using modified vibro-acoustic modulation by time-reversal32
• Chatter detection in milling process based on VMD and energy entropy29
• Coordinated path-following and direct yaw-moment control of autonomous electric vehicles with sideslip angle estimation28