The definition and evaluation of resilience has been widely discussed for various systems to
reduce risks in dynamic environments. Despite the existence of numerous studies on the …

Using artificial intelligence for maintenance planning is useful for many industries to have a
smart decision-making tool that delivers the best maintenance policy to minimize the …

Environmental factors, like seasonality, have been proved to exert significant impact on
reliability of China high-speed rail train wheels in this article. Most studies on polygonization …

This paper develops a dynamic maintenance strategy for a system subject to aging and
degradation. The influence of degradation level and aging on system failure rate is modeled …

Scheduling the wheel inspection is critical to ensure the safety and sustainability of urban
rail transit (URT) operation. The common wheel inspection is conducted on a fixed-interval …

The state of a machine is modeled as a controlled continuous-time Markov chain. Moreover,
the machine is being serviced at random times. The aim is to maximize the time until the …

Experts in a variety of businesses have always considered choosing the right maintenance
strategy to be a critical concern. Over the years, a variety of maintenance strategies have …

The rapid growth of population density and people demand based on railway services
increases day by day. Hence, the maintenance (ie, degradation and aging) and the decision …

This study presents the utilization of a deep learning model, specifically a multi-classification
CNN-LSTM approach, to enhance safety in locomotive maintenance. The model achieved …

A method for the prognosis of polygonalization in high-speed railway train wheels is
developed based on a generalized additive model. Unlike most previous studies, this study …