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.
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Acknowledgement
This paper is supported by fund projects: the national natural science funds projects (code: 60974063), the nature science foundation of Hebei province(code: F2014205115), Hebei province department of education (code: Z2011141), Hebei province department of science and technology (code: 11215650), Hebei normal university scientific research fund (code: L2011Q10).
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Du, H., Liu, Y., Du, W., Fan, X. (2016). Sensor Fault Detection of Double Tank Control System Based on Principal Component Analysis. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_25
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DOI: https://doi.org/10.1007/978-3-662-48365-7_25
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