Maintenance planning is crucial for efficient operation of wind turbines, particularly in harsh
conditions where degradation of critical components, such as bearings, can lead to costly …

As a key component in the transmission system of high-speed trains, bearings need to
withstand certain loads while rotating at high speeds. Once a failure occurs, it can directly …

The growing complexity of machinery and the increasing demand for operational efficiency
and safety have driven the development of advanced fault diagnosis techniques. Among …

With its formidable nonlinear mapping capabilities, deep learning has been widely applied
in bearing remaining useful life (RUL) prediction. Given that equipment in actual work is …

An innovative deep-learning framework embedding residual and channel attention blocks is
introduced, tailored explicitly to assess the remaining lifespan of cooling motor bearings …

Efficiency prediction is an essential prerequisite for dynamic decision to ensure safe, stable
and energy-saving operation of centrifugal pumps in various industrial applications. This …

As a core component of the powertrain system of Electric Logistics Vehicles (ELVs), the
gearbox is crucial for ensuring the reliability and stability of ELV operations. Traditional fault …

Accurate prediction of the remaining useful life (RUL) of bearings is crucial for maintaining
the reliability and efficiency of industrial systems. This study introduces a novel methodology …

This paper proposes a novel system for measuring the deformation of anodes automatically
in an electrolytic process, eliminating the need for manual intervention. The system employs …

Accurately predicting the remaining useful life (RUL) of rotating machinery, such as
bearings, is essential for ensuring equipment reliability and minimizing unexpected …