Data reconciliation for sensor fault monitoring

Xiaolong JIANG,Pei LIU,Zheng LI

Journal of Tsinghua University(Science and Technology) ›› 2014, Vol. 54 ›› Issue (6) : 763-768.

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Journal of Tsinghua University(Science and Technology) ›› 2014, Vol. 54 ›› Issue (6) : 763-768.
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Data reconciliation for sensor fault monitoring

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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%.

Key words

sensor fault monitoring / data reconciliation / thermal power plant

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Xiaolong JIANG,Pei LIU,Zheng LI. Data reconciliation for sensor fault monitoring[J]. Journal of Tsinghua University(Science and Technology). 2014, 54(6): 763-768

References

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