By simultaneously considering the supported truss configuration optimization and optimal
attitude–vibration control in rigid–flexible coupling (RFC) structure, this study proposes a …

Gear faults in a transmission system generally cause impulse components in vibration
signals, which is a crucial symbol for gearbox fault diagnosis. However, their related signals …

Robotic arms for industrial applications rely on expensive, complex solutions for high-
precision positioning error compensation. Digital twins (DTs) provide virtual representations …

Vibration-based fault diagnosis methods of ball screw are susceptible to noise and
transmission path. Moreover, the accuracy of supervised deep learning models depends on …

To analyze the vibration characteristics of the electromechanical coupling transmission
system of electrical vehicles under gear faults, an electromechanical coupling transmission …

Recently, data-driven methods have gained increasing prominence in the field of machinery
intelligent fault diagnosis (IFD). Unfortunately, three main shortcomings of IFD models are …

Deep learning has emerged as a formidable tool in bearing fault diagnosis, yet its
effectiveness is often hampered by the opaqueness of feature interpretation and the scarcity …

Fatigue crack fault of spur gear is one of the important causes of abnormal vibration and
noise in the operation of gear system. Meanwhile, crack fault greatly threatens the operation …

Compressed sensing can extract fault features from down-sampled signals well below the
Nyquist sampling frequency, alleviating the significant pressure on data storage and …

Although data-driven model has achieved remarkable results in gearbox fault diagnosis, its
diagnostic accuracy is still highly dependent on large amounts of high-quality labeled …