TY - JOUR
T1 - SVM regression extremum method of dynamic reliability analysis in flexible mechanism
AU - Han, Yanbin
AU - Tang, Wenzhong
AU - Bai, Guangchen
AU - Li, Xiaoying
AU - Zhang, Zhenfeng
PY - 2013/12
Y1 - 2013/12
N2 - In order to effectively improve the efficiency and accuracy of dynamic reliability analysis in the flexible mechanism, based on the Support Vector Machine (SVM) regression theory, an SVM Regression Extremum Method (SREM) with high-efficiency and high-precision of dynamic reliability analysis in flexible mechanism is proposed. Firstly, the basic reliability analysis theory in FM is introduced. Secondly, the combination of Monte Carlo (MC) method and SVM regression theory is applied in FM, and the surrogate model of dynamic response extremum in FM is established. By using the surrogate model, dynamic reliability analysis in FM can be effectively implemented. Finally, SREM is verified by the dynamic reliability analysis of clamping FM. Results obtained show that the calculation time of SREM is far less than that of MC, which is about 20% of MC. The computational accuracy of SREM is almost consistent with that of MC method. When reliability is greater than 98%, the computational accuracy of SREM is equal to that of MC.
AB - In order to effectively improve the efficiency and accuracy of dynamic reliability analysis in the flexible mechanism, based on the Support Vector Machine (SVM) regression theory, an SVM Regression Extremum Method (SREM) with high-efficiency and high-precision of dynamic reliability analysis in flexible mechanism is proposed. Firstly, the basic reliability analysis theory in FM is introduced. Secondly, the combination of Monte Carlo (MC) method and SVM regression theory is applied in FM, and the surrogate model of dynamic response extremum in FM is established. By using the surrogate model, dynamic reliability analysis in FM can be effectively implemented. Finally, SREM is verified by the dynamic reliability analysis of clamping FM. Results obtained show that the calculation time of SREM is far less than that of MC, which is about 20% of MC. The computational accuracy of SREM is almost consistent with that of MC method. When reliability is greater than 98%, the computational accuracy of SREM is equal to that of MC.
KW - Dynamic reliability
KW - Flexible mechanism
KW - Monte Carlo (MC) method
KW - SVM Regression Extremum Method (SREM)
KW - Support Vector Machine (SVM)
UR - https://www.scopus.com/pages/publications/84891953760
U2 - 10.11776/cjam.30.06.C079
DO - 10.11776/cjam.30.06.C079
M3 - 文章
AN - SCOPUS:84891953760
SN - 1000-4939
VL - 30
SP - 849
EP - 854
JO - Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics
JF - Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics
IS - 6
ER -