Corrosion fault identification model of substation grounding grid based on PSO-LS-SVM
文献类型：会议论文
| 作者 | Qin J(秦军)3; Miao J(缪金)3; Wu X(吴曦)3; Wang ZB(王资博)3; Shao S(邵帅)1,2,4
|
| 出版日期 | 2021 |
| 会议日期 | May 22-24, 2021 |
| 会议地点 | Kunming, China |
| 页码 | 1-8 |
| 英文摘要 | As one of the important equipment to ensure the normal operation of substation, the performance of grounding grid has been highly concerned. In recent years, researchers propose that the theory of electromagnetic induction can be used to diagnose and identify the corrosion fault of substation grounding grid. In this paper, a fault classification model based on LS-SVM optimized by PSO is proposed to identify the corrosion fault of grounding grid. Firstly, the wavelet packet transform principle is used to filter the original data, and the wavelet packet energy is used to construct the fault eigenvalue as the input of the fault classification model. Based on LS-SVM, a corrosion fault classification model is constructed, and particle swarm optimization method is used to optimize the parameters of the model, which solves the problem of traditional SVM parameter optimization. Through the practical application in substation, the model proposed in this paper can identify the corrosion of grounding grid conductor without excavation and power failure, which provides an effective scheme for engineering application. |
| 产权排序 | 2 |
| 会议录 | 4th International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2021
 |
| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1742-6588 |
| WOS记录号 | IOP:1742-6588-1983-1-012092 |
| 源URL | [http://ir.sia.cn/handle/173321/29506]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Shao S(邵帅) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China 3.State Grid Wuxi Power Supply Company, Wuxi, Jiangsu, China 4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Qin J,Miao J,Wu X,et al. Corrosion fault identification model of substation grounding grid based on PSO-LS-SVM[C]. 见:. Kunming, China. May 22-24, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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