Abstract
This paper presents the covariance constrain method for fault diagnosis of complex control systems. First of all, the state observation values of fault-spot at the subsystems are extracted in accordance with the operation of the system. Then the average and error of state observation values are defined and the covariance is obtained. Secondly, the weights of various factors are obtained by entropy method. The threshold value is confirmed from the Euclidean norm and the linear weight. When the threshold value is exceeded by the practice data, the alarm will be given and the corrective measures are adopted. Finally, the example shows that the fault covariance constraint control diagnosis method based on the Euclidean norm can be applied to the leakage diagnosis of aerospace products. Comparison the method with the conventional fault diagnosis shows the threshold value mode can be built objectively to realize the real-time fault diagnosis.
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Zhao, G., Huang, Xy., Huang, Hm. (2009). Fault Diagnosis Based on Covariance Constraint for Complex Control System. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_14
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DOI: https://doi.org/10.1007/978-3-642-03664-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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