Volume 4 Number 3
July 2007
Article Contents
Erfu Yang, Hongjun Xiang, Dongbing Gu and Zhenpeng Zhang. A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems. International Journal of Automation and Computing, vol. 4, no. 3, pp. 255-261, 2007. doi: 10.1007/s11633-007-0255-5
Cite as: Erfu Yang, Hongjun Xiang, Dongbing Gu and Zhenpeng Zhang. A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems. International Journal of Automation and Computing, vol. 4, no. 3, pp. 255-261, 2007. doi: 10.1007/s11633-007-0255-5

A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems

  • Received: 2007-03-05
Fund Project:

This work was supported by the National Natural Science Foundation of China(No.50106005)

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems

Fund Project:

This work was supported by the National Natural Science Foundation of China(No.50106005)

Abstract: Fault diagnosis of liquid rocket propulsion systems (LRPSs) is a very important issue in space launch activities particularly when manned space missions are accompanied,since the safety and reliability can be significantly enhanced by exploiting an efficient fault diagnosis system.Currently,inverse problem-based diagnosis has attracted a great deal of research attention in fault diagnosis domain.This methodology provides a new strategy to model-based fault diagnosis for monitoring the health of propulsion systems. To solve the inverse problems arising from the fault diagnosis of LRPSs,GAs have been adopted in recent years as the first and effective choice of available numerical optimization tools.However,the GA has many control parameters to be chosen in advance and there still lack sound theoretical tools to analyze the effects of these parameters on diagnostic performance analytically.In this paper a comparative study of the influence of GA parameters on diagnostic results is conducted by performing a series of numerical experiments. The objective of this study is to investigate the contribution of individual algorithm parameter to final diagnostic result and provide reasonable estimates for choosing GA parameters in the inverse problem-based fault diagnosis of LRPSs.Some constructive remarks are made in conclusion and will be helpful for the implementation of GA to the fault diagnosis practice of LRPSs in the future.

Erfu Yang, Hongjun Xiang, Dongbing Gu and Zhenpeng Zhang. A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems. International Journal of Automation and Computing, vol. 4, no. 3, pp. 255-261, 2007. doi: 10.1007/s11633-007-0255-5
Citation: Erfu Yang, Hongjun Xiang, Dongbing Gu and Zhenpeng Zhang. A Comparative Study of Genetic Algorithm Parameters for the Inverse Problem-based Fault Diagnosis of Liquid Rocket Propulsion Systems. International Journal of Automation and Computing, vol. 4, no. 3, pp. 255-261, 2007. doi: 10.1007/s11633-007-0255-5
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