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In this article, a novel dynamic Bayesian network based networked process monitoring approach is proposed for fault detection, propagation pathway identification and root cause diagnosis.
"But for the most part it's a slower and more networked process than we give them credit for".
This paper presents a data-based framework for distributed actuator fault identification and accommodation in networked process systems controlled over a resource-constrained communication medium.
New emerging data standards combined with machine data collection methods, such as in-process verification lead the way to a complete paradigm shift from the traditional manufacturing and inspection to intelligent networked process control.
Motivated by the above technological advances and the lack of methods to design control systems that utilize hybrid communication networks, in the present work, we present a novel two-tier control architecture for networked process control problems that involve nonlinear processes and heterogeneous measurements consisting of continuous measurements and asynchronous, delayed measurements.
As recent research demonstrates, network vulnerability is a very relevant issue on the design and operation of any networked process in general, and transportation in particular, where the main interest is on identifying network elements that are singularly sensible to disruptions to their integrity.
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Disaster risk is the product of a complex set of networked processes.
Constraints on the involvement of smaller companies in current Industry 4.0 initiatives are perceived to include lack of awareness of economic benefits, insufficient resources for establishing intelligently networked processes, and staff not having sufficient knowledge (Olle and Claus, 2015).
This work shows the implementation of a laboratory – scale oxygen distribution plant built with the aim of being used as a benchmark for control and optimization of networked processes.
Grid architectures and networked processing pipelines are used to process the large quantities or imaging data that are acquired in the Rotterdam Study.
The fault detection problem for a class of networked industrial process with fading channel communication is studied in this paper.
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