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In the chemical process, accurate measurements are the groundwork of implementation of operation optimization, dynamic fault diagnosis, advanced control and et al.. Process measurements from modern chemical plants typically contain errors unavoidably so that they are not consistent with corresponding conversation laws. Errors can be classified into two categories - random errors and gross errors. Dynamic data rectification can estimate unmeasured process quantities, reduce errors and provide a set of reconciled measurements for dynamic optimization, dynamic fault diagnosis and control. Dynamic data rectification includes two parts: dynamic data reconciliation and gross error detection and identification. The dynamic data rectification of the measurements of chemical dynamic process was studied systematically and the following progresses have been achieved. 1. According to the characteristic of the dynamic data reconciliation, based on extended WARM-START technique, an integrated approach of collocation on fin
Sprache
Chinesisch
Identifikatoren
Titel-ID: cdi_proquest_journals_1024720415
Format
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