Research on quality problems management of electric power equipment based on knowledge–data fusion method

Author:

Han Xiao1,Jiang Jun12,Zhang Chaohai1ORCID,Wen Zhe1,Chen Guang3,Liu Yang4

Affiliation:

1. Jiangsu Key Laboratory of New Energy Generation and Power ConversionNanjing University of Aeronautics and AstronauticsNanjing211106People's Republic of China

2. Department of Electrical & Electronic Engineering, School of EngineeringThe University of ManchesterManchesterM13 9PLUK

3. State Grid (Suzhou) City & Energy Research Institute Co. Ltd.Suzhou215151People's Republic of China

4. State Grid Jiangsu Electric Power Co. Ltd., Research InstituteNanjing211103People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault identification method of power network equipment based on fusion neural network model;2023 International Conference on Computers, Information Processing and Advanced Education (CIPAE);2023-08-26

2. Knowledge Base System of Electrical Equipment Management and Potential Risk Control Based on Natural Language Processing Technology;2023 Asia-Europe Conference on Electronics, Data Processing and Informatics (ACEDPI);2023-04

3. An event knowledge graph system for the operation and maintenance of power equipment;IET Generation, Transmission & Distribution;2022-08-31

4. Sound Source Localization Method of Substation Based on Fourth-order Cumulant;2022 7th Asia Conference on Power and Electrical Engineering (ACPEE);2022-04

5. A data‐driven approach to state assessment of the converter valve based on oversampling and Shapley additive explanations;IET Generation, Transmission & Distribution;2022-01-11

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