Prognosis and health management (PHM) are mandatory tasks for real-time monitoring of
damage propagation and aging of operating systems during working conditions. More …

Data-driven approaches for machine tool wear diagnosis and prognosis are gaining
attention in the past few years. The goal of our study is to advance the adaptability, flexibility …

With the increasing requirements for the reliability and safety of high-end equipment, the
predictive maintenance of high-end equipment has been indispensable. The remaining …

Conventional fault diagnosis systems have constrained the automotive industry to damage
vehicle maintenance and component longevity critically. Hence, there is a growing demand …

Abstract Prediction of Remaining Useful Life (RUL) for Rolling Element Bearings (REB) has
attracted widespread attention from academia and industry. However, there are still several …

Remaining useful life prediction is of huge significance in preventing equipment
malfunctions and reducing maintenance costs. Currently, machine learning algorithms have …

This study advocates the utilization of a parallel neural network (PNN) architecture for the
estimation of remaining useful life (RUL) of rolling element bearings. Conventional machine …

In actual industry, rolling bearings always exhibit complex and uncertain degradation
processes, and it is difficult to collect sufficient full lifecycle data, resulting in the remaining …

It is critical to accurately predict the remaining useful life (RUL) of rolling bearings to avoid
severe accidents and financial losses in the industry. Nevertheless, accurately determining …

Because the gear inspection process is time-consuming and the equipment wears easily,
gear machining and inspection data collection are costly; therefore, it is difficult to collect …