Design of Fault Detection Observer Based on Hyper Basis Function
文献类型：期刊论文
| 作者 | Wen Xin1; Zhang Xingwang1; Zhu Yaping2 |
| 刊名 | TSINGHUA SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 2015 |
| 卷号 | 20期号:2页码:200-204 |
| ISSN号 | 1007-0214 |
| 关键词 | NEURAL-NETWORKS observer fault detection hyper basis function neural networks |
| 其他题名 | Design of Fault Detection Observer Based on Hyper Basis Function |
| 英文摘要 | In this paper, we propose the Hyper Basis Function (HBF) neural network on the basis of Radial Basis Function (RBF) neural network. Compared with RBF, HBF neural networks have a more generalized ability with different activation functions. A decision tree algorithm is used to determine the network center. Subsequently, we design an adaptive observer based on HBF neural networks and propose a fault detection and diagnosis method based on the observer for the nonlinear modeling ability of the neural network. Finally, we apply this method to nonlinear systems. The sensitivity and stability of the observer for the failure of the nonlinear systems are proved by simulation, which is beneficial for real-time online fault detection and diagnosis. |
| 语种 | 英语 |
| CSCD记录号 | CSCD:5414852 |
| 源URL | [http://ir.imr.ac.cn/handle/321006/151256]  |
| 专题 | 金属研究所_中国科学院金属研究所 |
| 作者单位 | 1.中国科学院金属研究所 2.南京大学 |
| 推荐引用方式 GB/T 7714 | Wen Xin,Zhang Xingwang,Zhu Yaping. Design of Fault Detection Observer Based on Hyper Basis Function[J]. TSINGHUA SCIENCE AND TECHNOLOGY,2015,20(2):200-204. |
| APA | Wen Xin,Zhang Xingwang,&Zhu Yaping.(2015).Design of Fault Detection Observer Based on Hyper Basis Function.TSINGHUA SCIENCE AND TECHNOLOGY,20(2),200-204. |
| MLA | Wen Xin,et al."Design of Fault Detection Observer Based on Hyper Basis Function".TSINGHUA SCIENCE AND TECHNOLOGY 20.2(2015):200-204. |
入库方式： OAI收割
来源：金属研究所
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