Plant abnormality prediction system and method

Abstract

A system and method predict whether a plant is abnormal by modeling a relationship equation between tags based on a correlation between the tags, applicable even if modeling is executed without understanding a target to abnormality determination, and implements internal early alarm logic based on a difference between measured data and predicted data over time. The plant abnormality prediction system includes a modeling information output unit including a pre-processing part for pre-processing past data received for a plurality of tags, a correlation analysis part for receiving the pre-processed data for each tag to determine an independent tag among the plurality of tags based on correlation coefficients for any two tags, and a modeling part for generating a relationship equation between the tags by using outputs of the pre-processing part and the correlation analysis part; and a prediction unit for calculating estimated data for the tag based on the relationship equation.

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