Fuzzy model-based fault detection and diagnosis for a pilot heat exchanger
- 1 April 2011
- journal article
- research article
- Published by Informa UK Limited in International Journal of Systems Science
- Vol. 42 (4), 587-599
- https://doi.org/10.1080/00207721003653666
Abstract
This article addresses the design and real-time implementation of a fuzzy model-based fault detection and diagnosis (FDD) system for a pilot co-current heat exchanger. The design method is based on a three-step procedure which involves the identification of data-driven fuzzy rule-based models, the design of a fuzzy residual generator and the evaluation of the residuals for fault diagnosis using statistical tests. The fuzzy FDD mechanism has been implemented and validated on the real co-current heat exchanger, and has been proven to be efficient in detecting and isolating process, sensor and actuator faults.Keywords
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