Question Answering Algorithm for Grid Fault Diagnosis based on Graph Neural Network | |
Yu Yahan1,2![]() ![]() ![]() ![]() ![]() | |
2022-12 | |
会议名称 | 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) |
会议日期 | 2022-12 |
会议地点 | Guangzhou, China |
摘要 | Due to the existence of uncertain factors such as the power grid system itself, natural climate change and human factors, various faults will still occur in the power grid system. If the fault alarm is not responded to in time, it is likely to cause grid instability or even collapse, resulting in inestimable losses. By building a knowledge graph for massive power grid operation and maintenance information, we can achieve fast and accurate fault information reasoning and traceability, and retrieve reasonable fault resolution measures. Use artificial intelligence technology and big data to assist power grid systems to achieve more efficient operation and maintenance. Realizing the intelligent fault diagnosis of power grid is an urgent problem to be solved at present. With the rapid development and application of artificial intelligence technology, if artificial intelligence and big data technology can be applied to the fault diagnosis and analysis of power grids, this situation of relying on manual analysis will be broken, and the efficient processing of massive operation and maintenance data will be realized. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 人工智能+制造 |
国重实验室规划方向分类 | 语音语言处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51870 |
专题 | 数字内容技术与服务研究中心_智能技术与系统工程 |
通讯作者 | Wang Jian |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yu Yahan,Wang Yun,Zhang Guigang,et al. Question Answering Algorithm for Grid Fault Diagnosis based on Graph Neural Network[C],2022. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Question_Answering_A(494KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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