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—In continuous chemical processes, variations of process variables usually travel along propagation paths in the direction of the control path and process flow. This paper describes a data-driven method for identifying the direction of propagation of disturbances using historical process data. The novel concept is the application of transfer entropy, a(More)
The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This report does not constitute a standard, specification, or regulation. Abstract: The objective of this paper is to(More)
In continuous chemical processes, variations of process variables usually travel along propagation paths in the direction of flow. The aim of this study was to find a data-driven method for identifying the direction of variation propagation using historical process data. Transfer entropy is a recently proposed method based on the probability density(More)
Disturbances in chemical processes spreading through plants affect a number of process variables. The operator or the monitoring scheme in place often detects the disturbance at a variable critical to the process. This variable might not be close to the actual cause and isolation of the root cause becomes therefore a task for the control engineer. The aim(More)
Faults and disturbances in chemical process plants provide great challenges to maintenance staff in terms of the time and expenditure spent on trying to locate the root causes. Due to the complex connection of units within any plant and the numerous loops that may be present, the process of managing these faults is a large task and it is a challenge to(More)
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