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公开(公告)号:US20220299951A1
公开(公告)日:2022-09-22
申请号:US17697167
申请日:2022-03-17
发明人: Jitendra V. KADAM , George A. KHOURY , Clayton R. CARR , Trevor S. POTTORF , Onur ONEL , Victoria G. YAO
摘要: Methods for building models that estimate compositional properties of a process may include (a) receiving data relating to a process; (b) cleaning the data by identifying and removing outlying data points from the data; and conditioning the data; (c) identifying inferential model parameters comprising a parameter selected from the group consisting of: a compositional property of the process as a model output that is not part of the data, operational constraints of the process, interactions between process variables of the chemical process, and any combination thereof; (d) building one or more inferential models based on the cleaned data and the inferential model parameters; and (e) outputting the one or more models and the corresponding validation metric.