In order to predict the remaining useful life (RUL) of lithium-ion batteries, a capacity
degradation model may be developed using either simplified physical laws or machine …

With increasingly stringent regulations on emission criteria and environment pollution
concerns, marine fuel oils (particularly heavy fuel oils) that are commonly used today for …

Supply chain management (SCM) is considered at the forefront of many organizations in the
delivery of their products. Various optimization methods are applied in the SCM to improve …

The implementation of additive manufacturing as a disruptive process for the development of
components has generated the need to know manufacturing parameters to obtain …

Where AI systems are increasingly and rapidly impacting engineering, science, and our
daily lives, progress in AI safety for physical infrastructures is lagging. Most of the research …

Manufacturing systems consist of machinery composed of various types of mechanical
components, the reliability of which is crucial to achieving the overall production goals …

Abstract The UK EASICS (Establishing Advanced Modular Reactor Structural Integrity
Codes and Standards) programme has developed guidance to inform the development of …

It is necessary to develop advanced fault prognostics techniques for improving maintenance
planning and scheduling, productivity and enhancing the system's reliability, and avoiding …

Three-point bending fatigue compliance datasets of multi-layer fiberglass-weave/epoxy test
specimens, including 5 and 10 mil interlayers, were analyzed using artificial intelligence (AI) …

With the fast development of the railway industry, more and more challenges arise for the
safety and reliability of critical components, among which fatigue is the primary problem …