期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2020
卷号：474
期号：5
页码：1-6
DOI：10.1088/1755-1315/474/5/052011
语种：English
出版社：IOP Publishing
摘要：Power safety is closely related to production and life, so an essential part of the power safety protection system. Safety accidents are inseparably linked to equipment and the environment. Electricity safety accidents are not rare in causing loss of life and property. The neural network algorithm-based power security system uses the analytic hierarchy process to layer multiple logical structures of the power grid, evaluates the factors that affect safety, obtains the weight of each influencing factor, and selects the higher impact on power system safety interference according to the weight Factors. Now neural network algorithms have begun to be widely used, and electrical safety systems based on neural network algorithms play a significant role in power safety. Combining neural network algorithms with power safety protection systems can effectively guide functions such as aging monitoring, life prediction, and fault identification of power equipment, and can also improve the accuracy of power system reliability assessment.
