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Fault diagnosis of rocket engine ground testing bed with self-organizing maps(SOMs)

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【作者】 朱宁冯志刚王祁

【Author】 ZHU Ning1,FENG Zhi-gang2,WANG Qi1(1.Dept.of Automatic Measurement and Control,Harbin Institute of Technology,Harbin 150001,China2.School of Automation,Shenyang Institute of Aeronautical Engineering,Shenyang 110136,China)

【机构】 Dept.of Automatic Measurement and Control,Harbin Institute of TechnologySchool of Automation,Shenyang Institute of Aeronautical Engineering

【摘要】 To solve the fault diagnosis problem of liquid propellant rocket engine ground testing bed,a fault diagnosis approach based on self-organizing map(SOM)is proposed.The SOM projects the multidimensional ground testing bed data into a two-dimensional map.Visualization of the SOM is used to cluster the ground testing bed data.The out map of the SOM is divided to several regions.Each region is represented for one fault mode.The fault mode of testing data is determined according to the region of their labels belonged to.The method is evaluated using the testing data of a liquid-propellant rocket engine ground testing bed with sixteen fault states.The results show that it is a reliable and effective method for fault diagnosis with good visualization property.

【Abstract】 To solve the fault diagnosis problem of liquid propellant rocket engine ground testing bed,a fault diagnosis approach based on self-organizing map(SOM)is proposed.The SOM projects the multidimensional ground testing bed data into a two-dimensional map.Visualization of the SOM is used to cluster the ground testing bed data.The out map of the SOM is divided to several regions.Each region is represented for one fault mode.The fault mode of testing data is determined according to the region of their labels belonged to.The method is evaluated using the testing data of a liquid-propellant rocket engine ground testing bed with sixteen fault states.The results show that it is a reliable and effective method for fault diagnosis with good visualization property.

【基金】 Sponsored by the National Natural Science Foundation of China(Grant No. NSFC-60572010)
  • 【文献出处】 Journal of Harbin Institute of Technology ,哈尔滨工业大学学报(英文版) , 编辑部邮箱 ,2009年02期
  • 【分类号】TP391.41
  • 【被引频次】2
  • 【下载频次】67
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