As the most mature portable power source, lithium-ion battery has become the mainstream
of power source for electric vehicles (EVs) by virtue of its high energy density, long cycle life …

Predictive maintenance, such as remaining useful life (RUL) prognostics, requires precise
long time-series forecasting, which demands a higher predictive capability of data-driven …

With the advent of the 4th Industrial Revolution, research on anomaly detection in the
manufacturing process using deep learning and machine vision is being actively conducted …

As a key component of the rotating machines, rolling bearings are widely used in
mechanical engineering, aerospace and other fields. The health condition is closely related …

The prognosis of a machine condition becomes a hot topic nowadays, as the condition
monitoring installations provide a massive amount of Health Index (HI) data that could be …

Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway
industry. Normal wear and tear of these devices occur during day-and-night operation and …

Nonlinear degradation prediction of lithium-ion batteries is of great value in battery
management systems. Knee point in degradation is a significant signal for state of health …

Accurate remaining useful life (RUL) prediction holds significant importance for health
management of aero-engines, ensuring safety and reducing the maintenance cost. The …

Graph neural networks (GNNs) have been applied as an emerging technique for remaining
useful life (RUL) prediction due to their ability to effectively exploit the dependencies …

Accurate remaining useful life prediction of bearings plays a significant role in safe operation
of wind turbines. However, due to the harsh working condition, bearings often present …