Reconstruction-based contribution for process monitoring |
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| Authors: | Carlos F. Alcala [Author Vitae] [Author Vitae] |
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| Affiliation: | a Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA
b Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA |
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| Abstract: | This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As an alternative to the traditional contribution plot method, a reconstruction-based contribution for fault diagnosis is proposed based on monitored indices, SPE, T2 and a combined index φ. Analysis of the diagnosability of the traditional contributions and the reconstruction-based contributions is performed. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor faults with large fault magnitudes, whereas for the same case the proposed reconstruction-based contributions guarantee correct diagnosis. Monte Carlo simulation results are provided for the case of modest fault magnitudes by randomly assigning fault sensors and fault magnitudes. |
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| Keywords: | Process monitoring Fault diagnosis Reconstruction Contribution analysis Diagnosability |
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