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Abstract Data reconciliation method is used to improve sensor fault detection, identification and data rebuilding for a high pressure feedwater heater and extraction steam pipe system in a 1 000 MW coal-ired power generation unit. The dominant factor modeling method is used to build the characteristic constraint relationships between the parameters. A case study shows that this method can efficiently detect, identify and rebuild data after sensor faults with an average relative error in the rebuilt data of 2.42%.
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| Keywords
sensor fault monitoring
data reconciliation
thermal power plant
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Issue Date: 15 June 2014
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2014,
Vol. 54
),Zheng LI
