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System and method for virtual sensing based on empirical ensemble of gas emissions

机译:基于气体排放经验集合的虚拟传感系统和方法

摘要

An empirical ensemble based virtual sensor system (VS) for the estimation of an amount of a gas (G) resulting from a combustion process (CP) comprising two or more empirical models (NN1, NN2, . . . , NNn). The amount of gas (G) is estimated in each of the empirical models (NN1, NN2, . . . , NNn), and a combination function (f) combines the results from the empirical models (NN1, NN2, . . . , NNn) to provide a combined estimate for the amount of gas (G) that is more accurate than the estimated amount of gas from each of the individual empirical models (y1, y2, . . . , ym). The total performance of the virtual sensor system (VS) may be increased by increasing the number of empirical models (y1, y2, . . . , ym).
机译:一种基于经验集成的虚拟传感器系统(VS),用于估计燃烧过程(CP)产生的气体(G)的量,该燃烧过程包括两个或多个经验模型(NN1,NN2,...,NNn)。在每个经验模型(NN1,NN2,...,NNn)中估计气体量(G),并且组合函数(f)将经验模型(NN1,NN2,..., NNn),以提供比来自每个单独的经验模型(y1,y2,...,ym)的估计气体量更准确的混合气体(G)估计量。可以通过增加经验模型(y1,y2,...,ym)的数量来增加虚拟传感器系统(VS)的总体性能。

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