Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …

As one of the key technologies to maintain the safety and reliability of stochastic degrading
systems, remaining useful life (RUL) prediction, also known as prognostics, has been …

Bearings are indispensable components of machinery, playing a critical role in effective
health monitoring. This monitoring is vital in detecting equipment incipient failure and …

Traditional fault diagnosis (FD) for rotating machinery solely based on vibration signals has
problems such as inconvenient collection, low accuracy, and poor robustness. This article …

Deep learning has immense potential in ensuring the safe operation of hydraulic axial piston
pumps (HAPP). However, the complex operating environment and high cost of labeling have …

The remaining useful life (RUL) prediction method based on multi-sensor vibration data is a
significant component of predictive maintenance for rolling bearings. However, during the …

A convolutional neural network does not require to be stable when it is used for economy
applications being related with the offline learning. Nevertheless, a convolutional neural …

The efficient and safe production of machinery equipment relies on the health of its
mechanical components, making prognostics and health management (PHM) a critical …

The article focuses on developing a specialized prognostics system for motor bearings to
ensure the safety and reliability of motors and generators. Timely maintenance improves …

This study introduces a comprehensive framework designed to enhance production
efficiency by integrating maintenance strategies, energy costs, and production …