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All Outputs (4)

A comprehensive framework from real-time prognostics to maintenance decisions (2021)
Journal Article
Jain, A., Dhada, M., Hernandez, M. P., Herrera, M., & Parlikad, A. (2021). A comprehensive framework from real-time prognostics to maintenance decisions. IET Collaborative Intelligent Manufacturing, 3(2), 175-183. https://doi.org/10.1049/cim2.12021

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
Hernandez, M. P., Mcfarlane, D., Parlikad, A., Herrera, M., & Jain, A. (2021). Relaxing platform dependencies in agent-based control systems. IEEE Access, 9, 30511-30527. https://doi.org/10.1109/ACCESS.2021.3059273

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
Herrera, M., Proselkov, Y., Perez-Hernandez, M., & Parlikad, A. K. (2021). Mining graph-Fourier transform time series for anomaly detection of internet traffic at core and metro networks. IEEE Access, 9, 8997-9011. https://doi.org/10.1109/ACCESS.2021.3050014

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.