Application of Big Data Analysis in Fault Diagnosis of Substation Communication Network
This paper mainly discusses the application of big data analysis technology in substation communication network fault diagnosis.The main characteristics and challenges of power communication network are analyzed in detail.A complete set of fault diagnosis process is proposed based on big data analysis technologies such as feature engineering and machine learning.Through the analysis of specific algorithms,this paper preliminarily verifies the effectiveness of big data analysis method in fault diagnosis.Among them,the accuracy of fault diagnosis for traffic and link state of communication network can reach 91.7%,with an inference speed of approximately 37.7 inferences per second.The results show that the big data analysis technology can significantly improve the accuracy of fault detection,reduce the diagnosis time,and provide strong technical support for substation communication network.
big data analysiscommunication networksfault diagnosis