Fault propagation analysis by combining data-driven causal analysis and plant connectivity

Emerging Technology and Factory Automation(2014)

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Abstract
This paper presents a novel technique for integrating process causality and topology which ultimately enables to determine the propagation path of oscillations in control loops. The integration is performed using a dedicated search algorithm which validates the quantitative results of the data-driven causality using the qualitative information on plant connectivity extracted from a piping and instrumentation diagram. The outcome is an enhanced causal model which reveals the propagation path. The analysis is demonstrated on a case study of an industrial paperboard machine with multiple oscillations in its drying section due to valve stiction.
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Key words
industrial control,instrumentation,pipelines,search problems,valves,control loops,data-driven causal analysis,dedicated search algorithm,fault propagation analysis,industrial paperboard machine,instrumentation diagram,multiple oscillations,piping,plant connectivity,propagation path,valve stiction,Plant topology,causal analysis,control loops
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