Power equipment status information parallel fault diagnosis of based on MapReduce

Issue title: Fuzzy Logic based Decision Making

Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu

Article type: Research Article

Authors: Hu, Nan^* | Du, Hongjun | Liu, Shuji | Qiao, Lin

Affiliations: State Grid Liaoning Electric Power Co., Ltd. Information and Communication Branch, Liaoning, China

Correspondence: [*] Corresponding author: Nan Hu, State Grid Liaoning Electric Power Co., Ltd. Information and Communication Branch, Liaoning, China. E-mail: 3034751350@qq.com.

Abstract: A diagnosis algorithm against status information parallel faults occured on power equipment is analyzed and explored based on MapReduce. Here comes the parallelized Naive Bayes algorithm and transformer DGA test which help understand this algorithm by 4 MapReduce processes, coupled with the dissolved gas parameters of transformers given here. It turns out that the transformers can be diagnosed by Hadoop clusters when they reach a certain scale, as shown in the experiment.

Keywords: Power equipment, parallel fault diagnosis, status information

DOI: 10.3233/JCM-191023

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 165-170, 2019