Title

Using Event-Intervals to Analyze Alarm Sequences in a Chemical Plant

Document Type

Journal Article

Publisher

Science Press

Faculty

Computing, Health and Science

School

Computer and Security Science

RAS ID

8502

Comments

This article was originally published as: Kordic, S., Lam, C. P., Xiao, J., & Li, H. (2009). Using event-intervals to analyze alarm sequences in a chemical plant. Journal of Frontiers of Computer Science and Technology, 3(3), 267-281.

Abstract

A data mining approach is designed to support alarm rationalization by discovering correlated sets of alarm tags. The proposed approach is evaluated using simulation data from a model of the Vinyl Acetate chemical process as well as real plant alarm data. Results show that the propsed approach, using an event segmentation and data filtering strategy based on a cross-effect test, is significant.

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