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Impact of outliers on determining relationships between variables in large-scale industrial processes using Transfer Entropy

This paper presents analysis of finding and removing outliers on raw dataset obtained from random control loop of large-scale industrial ammonia distillation system. Research concerns an impact of analysis results on determining relationships between variables in the control loop using Transfer Entropy (TE) approach. Authors conducted research using different methods of analysis on the same dataset. Summary is comparison of results for using TE with raw and processed data and further discussion.