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- W2912762854 abstract "The product design method based on the partial least squares regression (PLSR) model has been widely used to obtain the desired product quality. However, it cannot deal with the substantial uncertainties in the real-world industrial processes since the PLSR model is a deterministic model. In this study, a product design methodology based on the probabilistic partial least squares regression (PPLSR) model is proposed. From a probabilistic view, the regression relationship between the operating conditions and the product quality is built by using the existing data. Then the probability distribution of the operating conditions that can produce the desired product quality is calculated, and the uncertainty of the operating conditions is quantitatively analyzed. Furthermore, the product quality is predicted under the operating conditions, then the value and cause of product quality error under the operating conditions is calculated and analyzed. The proposed methodology is tested on the penicillin fermentation production process." @default.
- W2912762854 created "2019-02-21" @default.
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- W2912762854 date "2018-11-01" @default.
- W2912762854 modified "2023-09-27" @default.
- W2912762854 title "Product Design for Industrial Process based on PPLSR Model" @default.
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- W2912762854 doi "https://doi.org/10.1109/cac.2018.8623416" @default.
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