A MIXED INTEGER LINEAR PROGRAMMING-BASED TECHNIQUE FOR THE ESTIMATION OF MULTIPLE GROSS ERRORS IN PROCESS MEASUREMENTS |
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Authors: | MIGUEL J BAGAJEWICZ QIYOU JIANG |
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Affiliation: | School of Chemical Engineering and Materials Science, University of Oklahoma , 100 E. Boyd St., T-335, Norman, OK, 73019-0628 |
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Abstract: | This paper presents a new strategy for detecting, identifying, and estimating gross errors (measurement biases and leaks) in linear steady state processes. The MILP-based gross error detection and identification model is constructed aiming at identifying the minimum number of gross errors and their sizes. One significant advantage of the method is that the detection, identification, and estimation of gross errors can be performed simultaneously without using any test statistics. |
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Keywords: | Linear programming error estimation process measurements |
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