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This paper considers the use and application of the “grey system” modelling methodology for the prediction and characterisation of boiler water R‐values in electric power generating plants. It has been confirmed that the GM (1,1) model can pinpoint precisely the properties of the water chemistry cycle. It is considered that the grey system methodology can strengthen significantly the effectiveness of system diagnosis, thereby enabling the development and application of automated water chemistry management systems in power plants.

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