Causality index development for causal patterns identification in industrial alarms
Industrial Alarms, Causality, Cross-correlation, Granger Causality Test, Transfer Entropy.
Industrial alarms are fundamentals tools for maintenance of safety and health from complex industrials process, between monitoring of thousands of process variables, the operator’s role is reduced to work on demand of alarms occurrence. However, an industrial alarms system poorly designed becomes inefficient against industrial abnormality situation. Among the possible degrading agents of an alarm system are the causal alarms, these are characterized by the difficulty of identification and by the high impact in monitoring industrial systems. Several works in the literature study possible ways of identifying causality patterns through information from industrials process; such ways are based in statistics and/or mathematical metrics to obtain the results. In this work, is demonstrated the use of some causality metrics of signals in previously known problematic scenarios of industrial alarms, the results of each tool are evaluated. Finally, is proposed an industrial alarms causality index based on metrics previously demonstrated. The results, until now, indicate a possible viability of this index as efficient tool for the identification task of causality between industrial alarms.