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| New method of dynamic reliability analysis in flexible mechanism |
| Received:January 14, 2013 Revised:August 28, 2013 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201403002 |
| KeyWord:Flexible Mechanism (FM) Monte Carlo Method (MC) Support Vector Machine(SVM) dynamic reliability SVM Regression Extremum Method(SREM) |
| Author | Institution |
| 韩彦彬 |
北京航空航天大学 能源与动力工程学院, 北京 ;中国人民解放军93705部队58分队, 遵化 |
| 白广忱 |
北京航空航天大学 能源与动力工程学院, 北京 |
| 李晓颖 |
河北联合大学 电气工程学院, 唐山 |
| 张振峰 |
中国人民解放军93705部队58分队, 遵化 |
| 白斌 |
北京航空航天大学 能源与动力工程学院, 北京 |
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| Abstract: |
| In order to effectively improve the efficiency and accuracy of dynamic reliability analysis in the Flexible Mechanism (FM),based on the Support Vector Machine (SVM) regression theory,SVM Regression Extremum Method (SREM) is proposed to achieve the reliability of dynamic response in FM.Firstly,the basic reliability theory in FM was introduced.Secondly,the combination of Monte Carlo Method (MC) and SVM regression theory are applied to FM,and the surrogate model of dynamic response extremum in FM is established.Through using the surrogate model,dynamic response reliability in FM can be effectively implemented.Finally,one example for FM is conducted dynamic reliability analysis by SREM,by comparison with MC and Artificial Neural Networks (ANN).The results show that,in the case of a small amount of samples,SREM is of higher precision and higher efficiency than ANN in the analysis of FM dynamic reliability;SREM is greatly higher efficient than MC,and SREM has almost the same accuracy as MC.SREM is proved to be of high efficiency and high accuracy in FM dynamic reliability analysis,and the feasibility and effectiveness of SREM are verified in the analysis of FM dynamic reliability. |
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