Drawing lessons from past accidents is an essential way to improve the operational safety of
railways. Various railway operational accidents and their related hazards constitute a …

Learning from past accidents in railway operations is valuable for ensuring the future safety
of railway operations. Railway operational accidents are of different types, such as collisions …

To clarify the risk factors and propagation characteristics affecting railway safety, we learn
from historical reports to build a connected network of hazards and accidents, forming a …

Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

Railway networks are a critical infrastructure in today's society, and many efforts have been
made to promote their safety. Even when safety measures are introduced, railway incidents …

The operational hazard management of the utility tunnel infrastructure is crucial for
sustainable and resilient urban development. It not only involves various domain expertise …

As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …

In the manufacturing industry, a hydraulic system harnesses liquid fluid power to create
powerful machines. Under the trend of Industry 4.0, the predictive maintenance of hydraulic …

With the increasing traveling speed of railway transportation, rail right-of-way intrusions can
cause high-consequence accidents and pose severe challenges to railway safety. Although …