Lithium-ion batteries decay every time as it is used. Aging-induced degradation is unlikely to
be eliminated. The aging mechanisms of lithium-ion batteries are manifold and complicated …

Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …

Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy
supply systems. In conventional data-driven RUL prediction approaches, the battery's …

Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …

随着科学技术的发展和生产工艺的进步, 当代设备日益朝着大型化, 复杂化,
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …

The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

The degradation of batteries is complex and dependent on several internal mechanisms.
Variations arising from manufacturing uncertainties and real-world operating conditions …

Forecasting the health of a battery is a modeling effort that is critical to driving improvements
in and adoption of electric vehicles. Purely physics-based models and purely data-driven …

The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …