Data reconciliation technology can decrease the level of corruption of process data due to measurement noise, but the presence of outliers caused by process peaks or unmeasured disturbances will smear the reconciled r...Data reconciliation technology can decrease the level of corruption of process data due to measurement noise, but the presence of outliers caused by process peaks or unmeasured disturbances will smear the reconciled results. Based on the analysis of limitation of conventional outlier detection algorithms, a modified outlier detection method in dynamic data reconciliation (DDR) is proposed in this paper. In the modified method, the outliers of each variable are distinguished individually and the weight is modified accordingly. Therefore, the modified method can use more information of normal data, and can efficiently decrease the effect of outliers. Simulation of a continuous stirred tank reactor (CSTR) process verifies the effectiveness of the proposed algorithm.展开更多
2-Chloro-5-chloromethylpyridine is a crucial intermediate of pesticides.Its solid-liquid equilibrium data will provide essential support for industrial design and further theoretical studies.The solubilities of 2-chlo...2-Chloro-5-chloromethylpyridine is a crucial intermediate of pesticides.Its solid-liquid equilibrium data will provide essential support for industrial design and further theoretical studies.The solubilities of 2-chloro-5-chloromethylpyridine in water,methanol,ethanol,ethyl acetate,acetone,trichloromethane and toluene at different temperatures were measured using the synthetic method by a laser monitoring observation technique. The solubility data were correlated with the modified Apelblat equation and Wilson equation.The calculated values were in good agreement with the experimental values.展开更多
基金Supported by the National Outstanding Youth Science Foundation of China (No. 60025308) and Key Technologies R&DProgram in the 10th Five-year Plan (No. 2001BA204B07)
文摘Data reconciliation technology can decrease the level of corruption of process data due to measurement noise, but the presence of outliers caused by process peaks or unmeasured disturbances will smear the reconciled results. Based on the analysis of limitation of conventional outlier detection algorithms, a modified outlier detection method in dynamic data reconciliation (DDR) is proposed in this paper. In the modified method, the outliers of each variable are distinguished individually and the weight is modified accordingly. Therefore, the modified method can use more information of normal data, and can efficiently decrease the effect of outliers. Simulation of a continuous stirred tank reactor (CSTR) process verifies the effectiveness of the proposed algorithm.
文摘2-Chloro-5-chloromethylpyridine is a crucial intermediate of pesticides.Its solid-liquid equilibrium data will provide essential support for industrial design and further theoretical studies.The solubilities of 2-chloro-5-chloromethylpyridine in water,methanol,ethanol,ethyl acetate,acetone,trichloromethane and toluene at different temperatures were measured using the synthetic method by a laser monitoring observation technique. The solubility data were correlated with the modified Apelblat equation and Wilson equation.The calculated values were in good agreement with the experimental values.
