Abstract
Connectivity and causality have a lot of potential applications, among which we focus on analysis and design of large-scale complex industrial processes. A direct application by establishing connectivity and causality is to build a topological model before parameter identification for complex industrial processes that areusually multi-input, multi-output systems with many internal closed loops. In abnormal situation management, process topology can be employed for root cause analysis, risk analysis, and consequential alarm identification using the information of fault propagation. These potential applications include both off-line analysis andon-line diagnosis. In addition, process topology can eventually be used in design of control structures because process topology determinesthe natural structure of the distributed plant-wide control.
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Yang, F., Duan, P., Shah, S.L., Chen, T. (2014). Examples of Applications for Connectivity and Causality Analysis. In: Capturing Connectivity and Causality in Complex Industrial Processes. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-05380-6_2
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DOI: https://doi.org/10.1007/978-3-319-05380-6_2
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