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Volume 25 Issue 5
May  1999
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Journal of Beijing University of Aeronautics and Astronautics  > 1999  >  25(5): 619-622.
Yang Erfu, Zhang Zhenpeng, Cui Dingjunet al. Study on Fault Monitoring and Diagnosis Techniques for Thrust Chamber and Turbo-pump Systems of Liquid Rocket Engines[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(5): 619-622. (in Chinese)
Citation: Yang Erfu, Zhang Zhenpeng, Cui Dingjunet al. Study on Fault Monitoring and Diagnosis Techniques for Thrust Chamber and Turbo-pump Systems of Liquid Rocket Engines[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(5): 619-622. (in Chinese)
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Study on Fault Monitoring and Diagnosis Techniques for Thrust Chamber and Turbo-pump Systems of Liquid Rocket Engines

  • Beijing University of Aeronautics and Astronautics,School of Astronautics

  • Received Date: 20 Apr 1998
  • Publish Date: 31 May 1999
    Abstract
  • It is shown that most of the failures of liquid propellant rocket engines pressured by turbo pump systems take place at thrust chamber and turbo pump systems.A brief introduction to the study on fault monitoring and diagnosis techniques for thrust chamber and turbo-pump systems of liquid propellant rocket engines has been made. The main contents are faults statistics and property analysis of fire-tests results, failure modes and effect analysis, the design and realization of failure database system, condition classifiers and character analysis, and so on. In addition, several algorithms for fault monitoring and diagnosis are also included. Finally, an engineering application system for fault monitoring and diagnosis of thrust chamber and turbo-pump systems is demonstrated and some application samples are also illustrated.

     

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  • 1. 杨尔辅, 张振鹏,刘国球,等.YF-75发动机状态监控与故障诊断工程应用系统的研制.推进技术,1997,18(1):65~72 2. 黄 仁, 钟秉林.机械制造过程的工况监视与故障诊断.西安:西安交通大学出版社,1991 3. Yang Erfu, Zhang Zhenpeng, Liu Guoqiu. A real-time dynamics model for condition monitoring based on neural networks.In:third Pacific International Conference on Aerospace Science and Technology (PICAST'3)Conference Proceedings.Shanxi:Shanxi Science and Technology Publishing House,1997.324~331 4. Yang Erfu, Zhang Zhenpeng, Liu Guoqiu,et al. A real-time system for condition monitoring of propulsion system using BP-ART hybrid neural networks.In:Gong Yaonan,ed. Proceedings of the second Asian-Pacific Conference on Aerospace Technology and Science.1997.410~415 5. Yang Erfu, Zhang Zhenpeng, Cui Dingjun,et al.A real-time fast adaptive algorithm for propulsion system failure detection based on AR model. AIAA ST-96-W.2.09,1996 6. 杨叔子, 吴 雅,王治藩,等.时间序列分析的工程应用.武汉:华中理工大学出版社,1992
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