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

Rolling bearing is one of the core components of modern machinery and is widely used in
rotating machinery. It is of great significance to judge the running state and predict the …

Remaining useful life (RUL) prediction has been a hotspot in the engineering field, which is
useful to avoid unexpected breakdowns and reduce maintenance costs of the system. Due …

This paper proposes two deep learning methods for remaining useful life (RUL) prediction of
bearings. The methods have the advantageous end-to-end property that they take raw data …

Many transfer learning methods focus on training models between domains with large
differences. However, the data feature distribution varies greatly in different bearing …

Remaining useful life (RUL) prediction of rolling bearings is of great importance in improving
the reliability and durability of rotating machinery. This article proposes a dual-attention …

Rolling bearing is one of the core parts of modern industrial equipment, with high safety and
reliability. Therefore, predicting its remaining useful life (RUL) is essential and far-reaching …

Effective remaining useful life (RUL) prediction of bearings is essential for the predictive
maintenance of rotating machinery. However, the effectiveness of many existing RUL …

The prediction of the remaining useful life (RUL) of bearings is of great significance for
reducing cost and increasing efficiency of mechanical equipment and ensuring healthy …

In this study, a novel deep convolutional neural network-bootstrap-based integrated
prognostic approach for the remaining useful life (RUL) prediction of rolling bearing is …