Unified model-based fault diagnosis for three industrial application studies |
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Authors: | Udo Schubert,Uwe Kruger,Harvey Arellano-GarciaThiago de Sá Feital,Gü nter Wozny |
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Affiliation: | a Chair of Process Dynamics and Operation, Berlin Institute of Technology, Str. d. 17. Juni 135, 10623 Berlin, Germany b Department of Chemical Engineering, The Petroleum Institute, P.O. Box 2533, Abu Dhabi, United Arab Emirates c Programma de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, 68501 Rio de Janeiro, Brazil |
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Abstract: | This paper proposes a unified scheme for fault detection and isolation (FDI) that integrates model-based and multivariate statistical methods. For creating suitable models, subspace model identification is utilized together with state-observers to track the measured process operation. To describe and analyze the impact of fault conditions, the scheme utilizes input reconstruction and unknown input estimation to generate multivariate residual-based statistics. In contrast to existing work, the paper presents three industrial application studies involving sensor faults, as well as process and actuator faults which result from measured and unmeasured disturbances. |
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Keywords: | Unknown input observer Input reconstruction Fault detection Fault isolation |
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