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• W2980552979 startingPage "104187" @default.
• W2980552979 abstract "The operating performance may deteriorate from the optimal condition in industrial hydrocracking process due to changes in product requirements, equipment performance degradation, environmental noises, and random disturbances, etc. Therefore, it is necessary to carry out effective online operating performance assessment for it. In this paper, a two-layer fuzzy synthetic strategy is proposed for operating performance assessment of the hydrocracking process. First, an operating performance assessment index is constructed based on the concept of positive deviation of the quality variables. As there are many products in the process, an assessment system is further built based on the performance index. To calculate the indicators in the assessment index system in real-time, partial least squares is used for prediction. To solve the problem of limited labeled samples in the prediction, the process variables are classified into several subspace blocks according to their correlations with different key indicators. Then, a two-layer fuzzy synthetic evaluation strategy is designed to evaluate the actual operating performance of the hydrocracking process. The proposed strategy is finally illustrated with a series of cases on an industrial hydrocracking process in China." @default.
• W2980552979 created "2019-10-25" @default.
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• W2980552979 date "2019-12-01" @default.
• W2980552979 modified "2023-09-25" @default.
• W2980552979 title "A two-layer fuzzy synthetic strategy for operational performance assessment of an industrial hydrocracking process" @default.
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• W2980552979 doi "https://doi.org/10.1016/j.conengprac.2019.104187" @default.
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