Study on Fault Detection Robot for Oil-immersed Transformer based on WiFi control | |
Huang RH(黄荣辉); Zhao YM(赵宇明); Li X(李勋); Feng YB(冯迎宾); Wu GX(伍国兴); Li ZG(李智刚)![]() | |
Department | 水下机器人研究室 |
Conference Name | 2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017) |
Conference Date | October 20-22, 2017 |
Conference Place | Jinan, China |
Source Publication | 2017 Chinese Automation Congress (CAC2017) & China Intelligent Manufacturing International Conference (CIMIC2017) |
Publisher | IEEE |
Publication Place | New York |
2017 | |
Pages | 50-55 |
Indexed By | EI ; CPCI(ISTP) |
EI Accession number | 20183005603127 |
WOS ID | WOS:000427816100010 |
Contribution Rank | 2 |
ISBN | 978-1-5386-3524-7 |
Keyword | Power Transformer Fault Detection Robot Wifi Communication |
Abstract | For the problem of hefty workload and bring impurity in the process of artificial transformer internal fault detection, the outline structure of fault detection robot for transformer is designed. WiFi communication module is used to build the control system of robot. This paper, using electromagnetic transmission, analyses transmission mechanism of WiFi electromagnetic signal passing through transformer oil, and completes the communication test. The movement status of the robot in the liquid is tested in this paper as well. The results indicate that the robot is able to move flexibly inside the transformer and communicate to the remote control. |
Language | 英语 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.sia.cn/handle/173321/21291 |
Collection | 水下机器人研究室 |
Corresponding Author | Huang RH(黄荣辉) |
Affiliation | 1.Shenzhen Power Supply Co., Ltd., Shenzhen China, 518048 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang China, 110016 |
Recommended Citation GB/T 7714 | Huang RH,Zhao YM,Li X,et al. Study on Fault Detection Robot for Oil-immersed Transformer based on WiFi control[C]. New York:IEEE,2017:50-55. |
Files in This Item: | ||||||
File Name/Size | DocType | Version | Access | License | ||
Study on Fault Detec(724KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment