Analysis of Occupational Exposure and Influencing Factors for 500kV Substation Personnel Based on Neural Networks-Reference-Cited by-同舟云学术

Analysis of Occupational Exposure and Influencing Factors for 500kV Substation Personnel Based on Neural Networks

Published:2024-03-29 Issue: Volume:40 Page:1926-1929
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Container-title:2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
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Author:

Wang Hui¹,Xu Songxiao¹,Yu Jinxing²,Lu Siyuan³,Zhu Yanwu⁴,Du Pengyu⁵

Affiliation:

1. State Grid Baoding Power Supply Company,Baoding,Hebei

2. State Grid Hebei Electric Power Research Institute,Shijiazhuang,Hebei

3. Handan Power Supply Branch of State Grid Hebei Electric Power Co., Ltd.,Handan,Hebei

4. State Grid Xingtai Power Supply Company,Xingtai,Hebei

5. State Grid Shijiazhuang Power Supply Company,Shijiazhuang,Hebei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579949/10579951/10581569.pdf?arnumber=10581569

Reference10 articles.

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3. An Expert System for Predicting and Diagnosing Occupational Diseases of Electric Power Industry Workers

4. Prediction of Occupational Diseases Due to Exposure to High Radiation Electromagnetic Environment Using a Fuzzy Logic Model

5. Investigation of emergency capacities for occupational hazard accidents in silicon solar cell producing enterprises]. [J];D D Y;Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases,2016