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