A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling
文献类型：会议论文
| 作者 | Gong HL(龚海里); Tong C(佟操); Ceng P(曾鹏) ; Bai HF(白洪飞); Liu YY(刘意杨); Yang RF(杨仁枫)
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| 出版日期 | 2017 |
| 会议名称 | 2017 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017 |
| 会议日期 | December 28-31, 2017 |
| 会议地点 | Beijing, China |
| 页码 | 1-9 |
| 通讯作者 | Tong C(佟操) |
| 中文摘要 | This paper aims to reduce the computational cost of reliability analysis. A new hybrid algorithm is proposed based on PSO-optimized Kriging model and adaptive importance sampling method. Firstly, the particle swarm optimization algorithm (PSO) is used to optimize the parameters of Kriging model. A typical function is fitted to validate improvement by comparing results of PSO-optimized Kriging model with those of the original Kriging model. Secondly, a hybrid algorithm for reliability analysis combined optimized Kriging model and adaptive importance sampling is proposed. Two cases from literatures are given to validate the efficiency and correctness. The proposed method is proved to be more efficient due to its application of small number of sample points according to comparison results. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017
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| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1755-1307 |
| 源URL | [http://ir.sia.cn/handle/173321/22031]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Gong HL,Tong C,Ceng P,et al. A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling[C]. 见:2017 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017. Beijing, China. December 28-31, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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