Attention Mechanism has become very popular in the field of mechanical fault diagnosis in
recent years and has become an important technique for scholars to study and apply. The …

The rapid advancement of smart sensors and logic algorithms has propelled the widespread
adoption of the Internet of Things (IoT) and expedited the advent of the intelligent era. The …

In this study, a deep learning-based probabilistic remaining useful life (RUL) prediction
model is proposed to improve the strong prior limitations of traditional probabilistic RUL …

Deep learning method has obtained abundant achievements in remaining useful life (RUL)
prediction, which can steer the preventive maintenance decision-making for improving the …

The increasing availability of condition-monitoring data for components/systems has
incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the …

Deep learning has achieved numerous breakthroughs in bearing predicting remaining
useful life (RUL). However, the current mainstream deep learning framework inevitably has …

The health of the aircraft engines is of great concern. And it is a key task to predict the
remaining useful life (RUL) of the aircraft engines accurately. However, there are still …

The increasing availability of condition monitoring data for aircraft components has
incentivized the development of Remaining Useful Life (RUL) prognostics in the past years …

The remaining useful life (RUL) prediction of a complex engineering system is extremely
significant for ensuring system reliability. The conventional prediction of the RUL based on …

Wavelet transform, a time-frequency analysis method for evaluating non-stationary signals,
can assist in representing equipment degradation over prolonged usage. However, a single …