Detecting Plant-Wide Oscillation Propagation Effects of Disturbances and Faults in a Chemical Process Plant Using Network Topology of Variance Decompositions

نویسندگان

چکیده

This work demonstrates for the first time application of network topology variance decompositions in analyzing connectedness chemical plant process variable oscillations arising from disturbances and faults. Specifically, time-based frequency-based variables can be used to compute net pairwise dynamic (NPDC), which originated as a volatility spillover index financial markets studies field econometrics. anomaly-detection benchmark Tennessee-Eastman (TEP) dataset, consists 41 measured 11 manipulated subjected various faulty operating conditions. The data analytics was performed using key functions R-package ‘ConnectednessApproach’ that implements computations based on frequency. NPDC coefficient matrices were then transformed into adjacency rendering TEP. resulting topologies allow comprehensive analysis oscillation effects across all plant-measured variables. Analyzing directed system dynamics at short-range, mid-range, long-range frequencies showed how faults propagate dissipate short-term, mid-term, long-term periods.

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ژورنال

عنوان ژورنال: Processes

سال: 2023

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr11061747