国家自然科学基金(61203133)

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A Selective Moving Window Partial Least Squares Method and Its Application in Process Modeling被引量:1
《Chinese Journal of Chemical Engineering》2014年第7期799-804,共6页徐欧官 傅永峰 苏宏业 李丽娟 
Supported by the National Natural Science Foundation of China(61203133,61203072);the Open Project Program of the State Key Laboratory of Industrial Control Technology(ICT1214)
A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high freque...
关键词:SMW-PLS Hydro-isomerizafion process Selective updating strategy Soft sensor 
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