Application of Rough Set Technology to Control Information System of CFBB

Ming Ming Gao; Jie Hou; De Liang Zeng; Xiu Jian Lei; Yu Ping Wu; Ming Sheng Zhang

doi:10.4028/www.scientific.net/AMM.341-342.605

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342Application of Rough Set Technology to Control...

Application of Rough Set Technology to Control Information System of CFBB

Abstract:

Circulating fluidized bed boiler (CFBB) is a distributed parameter, nonlinear, time-varying and multivariate coupling system. Considering these, the core identity of Rough Set and the theory of self-organizing neural fuzzy inference system is applied to the control system of CFBB. The system is carried out toward the 300MW CFBB in Baima Sichuan province, and finally improve the performance of CFBB effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

605-608

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.605

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Online since:

July 2013

Authors:

Ming Ming Gao, Jie Hou, De Liang Zeng, Xiu Jian Lei, Yu Ping Wu, Ming Sheng Zhang

Keywords:

Circulating Fluidized Bed Boiler, Data Mining (DM), Neural Fuzzy Inference, Rough Set (RS)

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