Reconstruction-based contribution for process monitoring
AutomaticaPublished 11 April 2009
Carlos F. Alcala, S. Joe Qin
Citations550
SJR quartileQ1
SJR score3.05
SNIP2.35
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TL;DR
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.
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, T 2 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.
Keywords
ChemistryDecision SciencesEngineering
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