Fault diagnosis system of high voltage switchgear based on cloud computing technology

Abstract

In this paper, a high voltage switchgear fault diagnosis system is designed with cloud computing technology, which is used for distributed storage and distributed processing of large-scale switching device status information data. This paper takes the high voltage switch cabinet as an example, to design a high voltage switchgear fault diagnosis system by cloud computing technology. In this paper, the three sets of characteristic parameters of the switchgear are analyzed, and the working status of the high voltage switchgear is judged. To speed up the fault diagnosis, the Hadoop cloud platform is built. The Hadoop distributed configuration is completed. A probabilistic neural network algorithm based on MapReduce is designed, and parallel processing of diagnostic data is realized in the cluster environment. The operating speed of fault diagnosis system in a stand-alone environment and the cluster environment are compared. The simulation results show that system running time can be reduced by using Hadoop clusters in the case of large data size. As well, the obvious advantage of cloud computing technology in processing large-scale fault diagnosis data is revealed.