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The Covariance Constraint Control Method of Fault Detect for Complicated Systems

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Computational Intelligence (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

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Abstract

Based on covariance constraint control theory and statistic, the fault predicts problem inner the dynamic complicated system is researched. First of all, according to the important factor to influence the running state by the Multifactor analyze method, we have defined and analyzed the parameter structure of the average and error for state observe values correspondence to the fault point; Simultaneous, the fitting quantitative model and error control threshold of complicated system were presented; secondly, we has given the running principium of integration system to fault detect and designed the network topological structure and the data transfer model; Finally, a simulated example have shown that the technique is effectively and exactly. The theoretical analyze indicated that the presented integration technology of Fault detect has a broad prospect for practical application.

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, D., Huang, X., Xiang, C., Li, W., Zhang, Y. (2006). The Covariance Constraint Control Method of Fault Detect for Complicated Systems. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_70

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  • DOI: https://doi.org/10.1007/978-3-540-37275-2_70

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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