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Erschienen in:
2016 | OriginalPaper | Buchkapitel
25. Sensor Fault Detection of Double Tank Control System Based on Principal Component Analysis
verfasst von : Hailian Du, Yubin Liu, Wenxia Du, Xiaojing Fan
Erschienen in: Proceedings of the 2015 Chinese Intelligent Systems Conference
Verlag: Springer Berlin Heidelberg
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Abstract
Production process system is a dynamic process, so whether the dynamic process’ sensor is faulted or not is determined through the method of various sensor data acquisition and analysis. The double water tank data processing and fault diagnosis model was established according to the basic method of principal component analysis theory and its application research in the field of fault diagnosis. The test data was input into the model, so whether there was a failure was determined by comparing thresholds, and which sensor and what kind of fault are determined. The effectiveness was proved by the simulation result.