The upgrade and development of manufacturing industry makes predictive maintenance
more and more important, but the traditional predictive maintenance can not meet the …

In recent years, slow feature analysis (SFA) has been successfully employed to deal with the
air handling unit (AHU) system's time-varying dynamic properties. However, since the …

Remaining useful life (RUL) prediction is a vital task in rolling bearing prognostics and
health management (PHM) process. Kalman filtering (KF) is one of the hot spots in the …

Accurate remaining useful life (RUL) prediction is of great significance to the safe operation
of aircraft. Graph neural network (GNN) can describe the spatial structure relationship …

The methods for remaining useful life (RUL) prediction of bearings are mainly based on the
autoregressive strategies, among which the temporal convolutional network (TCN) has been …

Remaining useful life (RUL) prediction plays a significant role in prognostic and health
management (PHM), and it can reduce the cost of unwanted failures and improve the …

Wind energy penetration has considerably increased in the recent past. However, wind
turbines are often prone to various faults which may lead to failures causing huge production …

Momentum wheel bearing is a critical component within satellite systems, and its condition
monitoring not only extends the operational lifespan of the satellite but also ensures the …

Remaining useful life (RUL) prediction of components is a crucial aspect of mechanical
systems prognostic and health management. However, during the online RUL prediction of …

Offshore wind turbines face substantial challenges in operation and maintenance due to the
harsh marine environment and remote locations. Predictive maintenance, encompassing …