文献类型：专利

英文题名：Combination process data driving model modeling method, involves deriving combined optimizing target equation by utilizing constraint equation, and obtaining optimal parameter in source module during intelligent limitation process

作者：CHENG X;LI S;ZHENG W;YANG Y;XU W

机构：[1]UNIV EAST CHINA SCI & TECHNOLOGY

申请号：CN104915522-A

申请日：2015-07-01

公开日：2015-09-16

语种：英文

收录：DERWENT

摘要：NOVELTY - The method involves establishing math relation expression of a data driven model by selecting an appropriate data driving module (S1). A constraint equation is developed (S2) by a detection module according to violation process. A concave-convex characteristic is obtained based on first-order information. A model output measuring value is compared (S3) with a sample value. A combined optimizing target equation is derived (S4) by utilizing constraint equation. An optimal parameter is obtained (S5) in a source module during intelligent limitation process. USE - Combination process data driving model modeling method. ADVANTAGE - The method enables simplifying data driving model modeling process so as to effectively avoid matching failures. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a combination process data driving model modeling method. '(Drawing includes non-English language text)' Step for establishing math relation expression of data driven model (S1) Step for developing constraint equation (S2) Step for comparing model output measuring value with sample value (S3) Step for deriving optimizing target equation by utilizing constraint equation (S4) Step for obtaining optimal parameter in source module during intelligent limitation process (S5)