Hybrid-Knowledge-Models-Based Intelligent Fault Diagnosis Strategies for Liquid-Propellant Rocket Engines

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Periodical:

Key Engineering Materials (Volumes 245-246)

Edited by:

J.M. Dulieu-Barton, M.J. Brennan, K.M. Holford and K. Worden

Pages:

149-156

Citation:

J. J. Wu et al., "Hybrid-Knowledge-Models-Based Intelligent Fault Diagnosis Strategies for Liquid-Propellant Rocket Engines", Key Engineering Materials, Vols. 245-246, pp. 149-156, 2003

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July 2003

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[1] Honggang Liu: Studies on Theory and Strategy of Intelligent Fault Diagnosis for Liquid- propellant Rocket Engine, Ph.D. dissertation, National University of Defense Technology, China, (2002).

[2] Daniel J. Clancy: Solving Complexity and Ambiguity Problems within Qualitative Simulation, Ph.D. dissertation, University of Texas at Austin, (1997).

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[10] Martin Sachenbacher, Andress Malik, Peter Struss. From Electrics to Emissions: Experience in Applying Model-based Diagnosis to Real Problems in Real Cars. 9th International Workshop on Principles on Diagnosis(DX-98). Cape Cod, USA, (1998).

[11] Cascio F., Sanseverino M., IDEA(Integrated Diagnostic Expert Assistant) model-based diagnosis in the car repair centers. IEEE Expert, 1997, 12(6).

[12] Williams B., Nayak P. A model-based approach to reactive self-configuring systems. Proc. AAAI96: 971- 978, (1996).

[13] Huang Weidong, Wang Kechang. Rocket Engine Diagnostics Using the Signed Directed Graph. AIAA-95-2436, 1995 Contact author and full address: Dr. Jianjun Wu Department of Astronautical Engineering School of Aerospace and Material Engineering National University of Defense Technology Changsha, Hunan 410073 P.R. China Tel: 86-731-4556611(O), 4573175(O), 2219923(H) Fax: 86-731-4512301 E-mail: jjwu@nudt. edu. cn.

DOI: https://doi.org/10.2514/6.1995-2436

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