Among all introduced green alternatives, hydrogen, due to its abundance and diverse
production sources is becoming an increasingly viable clean and green option for …

The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …

High value and long life products require continuous maintenance throughout their life cycle
to achieve required performance with optimum through-life cost. This paper presents …

Health condition monitoring for rotating machinery has been developed for many years due
to its potential to reduce the cost of the maintenance operations and increase availability …

Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …

着重介绍数据驱动故障预测和健康管理(PHM) 方法的研究现状. 通过对数据驱动PHM
方法的分类阐述, 逐步说明面向复杂系统数据驱动PHM 的方法体系和流程 …

Abstract Machine learning (ML) offers a promising avenue for international freight
transportation management (IFTM) given its capability to harness the power of data that …

Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

Railway turnout systems are one of the most critical elements in railway infrastructure. They
are also one of the most vulnerable assets that are likely to be affected by the adverse …

The risk assessment process performs an important role in maintenance decision making,
through structuring the process of identifying, prioritizing, and thereafter formulating effective …