Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …

In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …

Remaining useful life (RUL) prediction is the core research task of aero-engine prognostics
health management (PHM), which is crucial to promoting the safety, reliability and economy …

Rolling-element bearing is one of the main parts of rotating equipment. In order to avoid the
mechanical equipment damage caused by the sudden failure of rolling-element bearings, it …

The prediction of aero-engine remaining useful life (RUL) is helpful for its operation and
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …

With the development of intelligent manufacturing and automation, the precision and
complexity of mechanical equipment are increasing, which leads to a higher requirement for …

Unsupervised domain adaptation (UDA)-based methods have made great progress in
bearing fault diagnosis under variable working conditions. However, most existing UDA …

Remaining useful life (RUL) prediction has been a hotspot topic, which is useful to avoid
unexpected breakdowns and improve reliability. Different bearing failure behaviors caused …

Shield machine may deviate from its design axis during excavation due to the uncertainty of
geological environment and the complexity of operation. This study therefore introduced a …

Abstract Most Remaining Useful Life (RUL) prognostics are obtained using supervised
learning models trained with many labelled data samples (ie, the true RUL is known). In …