Author Name | Affiliation | ZHU Ning | Dept.of Automatic Measurement and Control, Harbin Institute of Technology, Harbin 150001, China, zhun@hit.edu.cn | FENG Zhi-gang | School of Automation, Shenyang Institute of Aeronautical Engineering, Shenyang 110136, China | WANG Qi | Dept.of Automatic Measurement and Control, Harbin Institute of Technology, Harbin 150001, China, zhun@hit.edu.cn |
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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. |
Key words: fault diagnosis self-organizing map (SOM) U-matrix visualization |
DOI:10.11916/j.issn.1005-9113.2009.02.011 |
Clc Number:TP391.4 |
Fund: |