Testability Modeling and Prediction Method with Unreliable Test

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Abstract:

For the problem of being lack of consideration of uncertain information during the process of current testability modeling and prediction, the testability modeling and prediction method based on uncertain information is researched from both aspects of uncertain test and uncertain relationship between failure modes and functions. A kind of model called hybrid diagnostic Bayesian networks is designed which is proven to be highly accurate the confidence of the testability prediction results.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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665-668

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Eric Gould. Modeling it Both Ways: Hybrid Diagnostic Modeling and its Application to Hierarchical System Designs[C]. IEEE AUTOTESTCON, 2004: 576-582.

DOI: 10.1109/autest.2004.1436957

Google Scholar

[2] J.W. Sheppard, M.A. Kaufman. A Bayesian Approach to Diagnosis and Prognosis Using Built in Test[J], IEEE Transactions on Instrumentation and Measurement, Special Section on Built-in Test, 2005, 54 (6).

DOI: 10.1109/tim.2005.847351

Google Scholar

[3] Fang Jiayong, Xiao Mingqing, et a. l. Multiple fault diagnosis method with unreliable test [J]. Journal of Beijing University of Aeronautics and Astronautic, 2011, 37 (4): 433~438.

Google Scholar

[4] Dai Jing, Yu Jinsong, Zhang Ping, et a. l Diagnostic Bayesian networks modeling based on multi-signal flow graphs[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(4): 472-47.

Google Scholar

[5] Junrong Jiang, et a. l, Diagnostic design based on Hybrid diagnostic model[J], Computer Measurement and Control, 2011, 16(6): 598-600.

Google Scholar