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Diagnosability and Failure Detection in Linear Discrete Dynamical Systems

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System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches
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Abstract

This paper analizes first the step-hypothesized generalized-likelihood-ratio(GLR) method for a general failure in linear discrete dynamical systems and discusses the detectionability. We find that a weakly-diagnosable-space can exist for dynamics failure rather than for sensor one. To overcome the problem, two extended GLR methods are next developed, that is, the one making use of another reduced-order GLR method which has effect for the anomaly appearing from near the weakly-diagnosable-space and the another taking into account the estimation of dominant low-frequencies’ modes other than a bias. Some comments are maid on the detection methods and the detectionability, and several criteria for optimal sensor location are mentioned about.

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References

  1. A.S. Willsky, ‘A Survey of Design Methods for Failure Detection in Dynamic Systems’, Automatica, 12, 601/6ll (1976)

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© 1987 D. Reidel Publishing Company

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Tanaka, S., Müller, P.C. (1987). Diagnosability and Failure Detection in Linear Discrete Dynamical Systems. In: Tzafestas, S., Singh, M., Schmidt, G. (eds) System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3929-5_6

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  • DOI: https://doi.org/10.1007/978-94-009-3929-5_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8243-3

  • Online ISBN: 978-94-009-3929-5

  • eBook Packages: Springer Book Archive

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