| The Development of Intelligent Fault Diagnosis System Based KBE Graph |
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| 作者姓名： | ZHANG Xiao-rong DAI Hong-jie SONG Chao-sheng |
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| 作者单位： | 1. College of Mechanical Engineering, Chongqing University of Science and Technology, Chongqing 400042, China ; 2. State Key Laboratory of Mechanical Transmission , Chongqing University , Chongqing 400030, China; 3. Bubeau of Social Security Hubei Mache |
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| 摘 要： | Aimed at solving the insufficiency problem in the current intelligent fault diagnosis system, such as lack of development tools, inference oversimplification, and developed a kind of diagnosis system based on network and KBE graph. The system is simple and easy to establish, modify, expand and maintain and does not need further coding. In addition, it can significantly save time and reduce the chance of failure. The integration of expert rules, fuzzy logic and nerve network enables the system to adapt to those complicated systems which involve in multi-variable, multi-parameter, multi-object and multi-process. As an example, an on-line detection system for simulate-on rotor test bench has been established and typical faults were successfully diagnosed through it, which proved the validity and reliability of the system. Furthermore, the system has been declared national invention patent.
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| 关 键 词： | knowledge based engineering graph fault intelligent diagnosis |
| 修稿时间： | 2007/5/20 0:00:00 |
The Development of Intelligent Fault Diagnosis System Based KBE Graph |
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| ZHANG Xiao-rong,DAI Hong-jie,SONG Chao-sheng.The Development of Intelligent Fault Diagnosis System Based KBE Graph[J].Storage & Process,2007(9):22. |
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| Authors: | ZHANG Xiao-rong DAI Hong-jie SONG Chao-sheng |
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| Institution: | 1. College of Mechanical Engineering, Chongqing University of Science and Technology, Chongqing 400042, China ; 2. State Key Laboratory of Mechanical Transmission , Chongqing University , Chongqing 400030, China; 3. Bubeau of Social Security Hubei Mache |
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| Abstract: | Aimed at solving the insufficiency problem in the current intelligent fault diagnosis system, such as lack of development tools, inference oversimplification, and developed a kind of diagnosis system based on network and KBE graph. The system is simple and easy to establish, modify, expand and maintain and does not need further coding. In addition, it can significantly save time and reduce the chance of failure. The integration of expert rules, fuzzy logic and nerve network enables the system to adapt to those complicated systems which involve in multi-variable, multi-parameter, multi-object and multi-process. As an example, an on-line detection system for simulate-on rotor test bench has been established and typical faults were successfully diagnosed through it, which proved the validity and reliability of the system. Furthermore, the system has been declared national invention patent. |
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| Keywords: | knowledge based engineering graph fault intelligent diagnosis |
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