All Outputs (7)

Multi-agent learning of asset maintenance plans through localised subnetworks (2023)
Journal Article

Maintenance planning of networked multi-asset systems is a complex problem due to the inherent individual and collective asset constraints and dynamics as well as the size of the system and interdependencies among assets. Although multi-asset systems... Read More about Multi-agent learning of asset maintenance plans through localised subnetworks.

An agent-based approach for energy-efficient sensor networks in logistics (2023)
Journal Article

As part of the fourth industrial revolution, logistics processes are augmented with connected information systems to improve their reliability and sustainability. Above all, customers can analyse process data obtained from the networked logistics ope... Read More about An agent-based approach for energy-efficient sensor networks in logistics.

Control and optimization of multi-agent systems and complex networks for systems engineering (2021)
Journal Article

A comprehensive framework from real-time prognostics to maintenance decisions (2021)
Journal Article

Studying the influence of imperfect prognostics information on maintenance decisions is an underexplored area. To bridge this gap, a new comprehensive maintenance support system is proposed. First, a survival theory-based prognostics module employing... Read More about A comprehensive framework from real-time prognostics to maintenance decisions.

Relaxing platform dependencies in agent-based control systems (2021)
Journal Article

Agent-based systems have been widely used to develop industrial control systems when they are required to address issues such as flexibility, scalability and portability. The most common approach to develop such control systems is with agents embedde... Read More about Relaxing platform dependencies in agent-based control systems.

Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks (2021)
Journal Article

This article proposes a framework to analyse traffic-data processes on a long-haul backbone infrastructure network providing internet services at a national level. This type of network requires low latency and fast speed, which means there is a large... Read More about Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks.

Secure and communications-efficient collaborative prognosis (2020)
Journal Article

Collaborative prognosis is a technique that is used to enable assets to improve their ability to predict failures by learning from the failures of similar other assets. This is typically made possible by enabling the assets to communicate with each o... Read More about Secure and communications-efficient collaborative prognosis.