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Fault Detection for Nonlinear Processes Based on Local Linear Fuzzy models in parallel and series-parallel Mode

IFAC Proceedings Volumes 1997年第18期30卷 1137-1142页

作者： Peter Ballé Oliver Nelles Dominik Füssel Darmstadt University of Technology Institute of Automatic Control Landgraf-Georg-Strasse. 4D-64283 Darmstadt Germany

In this contribution, a new approach for model-based fault detection and isolation (FDI) of sensor faults for non linear processes is presented. A local linear fuzzy model of the process is used for the generation of structured residual equations similar to the parity space approach. The model is run in parallel and series-parallel to the process which leads to residuals with different sensitivities. The practical applicability is illustrated on an industrial scale thermal plant. Here, five different faults can be detected and isolated continuously over all ranges of operation.

关键词： fault detection/isolation parity equations fuzzy models parallel/series-parallel model heat exchanger

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Detection and Isolation of Sensor Faults for a Heat Exchanger Based on Local Linear Fuzzy models

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IFAC Proceedings Volumes 1997年第25期30卷 525-530页

作者： Peter Ballé Oliver Nelles Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University of Darmstadt Landgraf-Georg-Str. 4 64283 Darmstadt Germany Phone: +49/6151/16-2314 Fax: +49/6151/293445

The development of a reliable fault detection and isolation (FDI) scheme for nonlinear processes is often laborious and difficult to achieve due to the complexity of the system. Neural networks and fuzzy models, able to approximate nonlinear dynamic functions offer a powerful tool to cope with this problem. In this paper, a multi-model approach for FDI of sensor faults on a highly nonlinear real world processes is introduced. The approach is based local linear fuzzy models and provides residuals which are structured in a way that detection of six and isolation of five different sensor faults over all ranges of operation becomes possible. The approach enables on-line supervision of the process. Furthermore, a sensitivity analysis of the residuals to different faults can be made, based on the parameters of the fuzzy models.

关键词： fault detection/isolation fuzzy models parallel/series-parallel model heat exchanger

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