Power equipment status information parallel fault diagnosis of based on MapReduce

被引：3
|
作者：
Hu, Nan [1 ]
Du, Hongjun [1 ]
Liu, Shuji [1 ]
Qiao, Lin [1 ]
机构：
[1] State Grid Liaoning Elect Power Co Ltd, Informat & Commun Branch, Shenyang, Liaoning, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2019年 / 19卷
关键词：
Power equipment; parallel fault diagnosis; status information; ALGORITHM;
D O I：
10.3233/JCM-191023
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：S165 / S170
页数：6
相关论文
共 50 条
  • [1] Parallel Fault Diagnosis of Power Transformer Based on MapReduce and K-means
    Wang, Dewen
    Liu, Xiaojian
    [J]. CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 813 - 816
  • [2] Fault Diagnosis for Power Equipment Based on IoT
    Zhu, Yusheng
    Huang, Xiaoqing
    Zhang, Junyong
    Luo, Jie
    He, Jie
    [J]. INTERNET OF THINGS-BK, 2012, 312 : 298 - 304
  • [3] The use of power information technology in fault diagnosis of electrical equipment
    Feng, Baozhen
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [4] Research on Fault Diagnosis of Power Equipment Based on Big Data
    Wang Baoshuai
    Xiao Xia
    Xu Yan
    Li Yao
    [J]. 2017 FIRST IEEE INTERNATIONAL CONFERENCE ON ENERGY INTERNET (ICEI 2017), 2017, : 193 - 197
  • [5] A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR
    Ma, Gang
    Jiang, Linru
    Xu, Guchao
    Zheng, Jianyong
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [6] Fault Diagnosis Method of Equipment based on Multi-information Fusion
    QI Jiyang
    WANG Lingyun
    [J]. International Journal of Plant Engineering and Management, 2020, 25 (02) : 77 - 97
  • [7] Fault Diagnosis of Refrigeration Equipment Based on Data Mining and Information Fusion
    Zhou, Yijun
    Wu, Kai
    Sun, Yu
    Yang, Xiaoyan
    Lou, Xiaohua
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 41 (02): : 392 - 398
  • [8] Research of electronic equipment fault diagnosis based on multisensor information fusion
    Li, HP
    Huang, YH
    Zhang, PY
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 2775 - 2778
  • [9] Fault diagnosis of aerospace electrical equipment based on fuzzy information fusion
    Wang Hongfeng
    Gardin, Shan
    Gao Lu
    [J]. ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 596 - +
  • [10] Operating Status Diagnosis of Power Equipment Based on Rule Engine
    Li, Chen
    Qian, Ping
    Xu, Ning
    Jiang, Chen
    Wang, Yawen
    Wang, Yuan
    Ma, Guoming
    [J]. 2021 IEEE ELECTRICAL INSULATION CONFERENCE (EIC), 2021, : 673 - 677
12345