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Sensor Fault Detection and Diagnostics of Nonlinear Systems with Application to Paper Machines

Authors :
Z.J. Zhang
Zhou Dikui
Yaxun Sun
Yan Xi
Source :
IFAC Proceedings Volumes. 26:601-604
Publication Year :
1993
Publisher :
Elsevier BV, 1993.

Abstract

This paper presents an efficient real-time method of sensor fault detection, isolation and estimation for a class of MIMO nonlinear time-varying stochastic systems. The sensor faults may be a jump or slow drift type. The presented approach is based on the combination of the separate-bias estimation algorithm to randomly time-varying bias of nonlinear systems proposed by the authors and the modified Bayes' decision algorithm. The proposed technique is used to design a sensor fault diagnostics system for the headbox of an actual paper machine. Actual headbox data have demonstrated the effectiveness of the proposed method

Details

ISSN :
14746670
Volume :
26
Database :
OpenAIRE
Journal :
IFAC Proceedings Volumes
Accession number :
edsair.doi...........9a760fed4a380b7fd8e30c63f544e408