Detectability study for statistical monitoring of multivariate dynamic processes

Nan Chen and Shiyu Zhou

IISE Transactions, 2009, vol. 41, issue 7, 593-604

Abstract: Fault detection and diagnosis for dynamic processes is an intensively investigated area. However, the problem of determining whether or not system faults can be successfully detected based on the output measurements for a given dynamic process remains an open research topic. An intrinsic definition of fault detectability in multivariate dynamic processes is proposed in this paper. It defines the detectability in an intrinsic manner as a system property, without any reference to any specific fault detection algorithm. Furthermore, the relationship between system structure and the detectability for mean change faults and variability change faults are investigated. Analytical criteria for checking the system detectability are established. The results presented in this paper can provide guidelines on system design improvement for process monitoring and control. A case study is presented that illustrates the effectiveness of the proposed methods.

Date: 2009
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DOI: 10.1080/07408170802389308

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