Neural Fuzzy Fault Detection and Isolation in Greenhouses
نویسندگان
چکیده
The paper focuses on the application of fuzzy neural techniques in fault detection and isolation of single failures in greenhouses. The objective of this paper is to detect and isolate faults in greenhouses, with emphasis on faults occurred in actuators and sensors. The developed method is based on a comparison between the measured greenhouse climate and the predictions of a reference model. This comparison is performed according to the knowledge-based approach, which ensures robustness of the diagnosis with respect to noise and modeling imperfections. Using the method developed, all the failures investigated are detected and isolated, with typically very short time.
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