A Power Grid Fault Diagnosis Method based on Ensemble Decision Tree

被引：0

作者：

Wang, Ding ^{[1
]}

Li, Guang ^{[1
]}

Tang, Weining ^{[1
]}

Tian, Chunguang ^{[1
]}

Zhou, Hongwei ^{[1
]}

机构：

[1] State Grid Jilin Elect Power Co Ltd, Elect Power Res Inst, Changchun 130021, Jilin, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE) | 2017年 / 190卷

关键词：

SYSTEMS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The reason for the failure of the grid is complicated. On the one hand, because the majority of the information comes from the grid signal whose description dimension is higher; on the other hand, it is a low probability that large number or types of fault problems occur in one area. To solve this problem, this paper proposed a power grid fault diagnosis method based on ensemble decision tree (PGFD-EDT). This algorithm uses attribute selection mechanism to divide a large number of power signal attributes for multiple sets of attribute subsets, each subset is trained individually for a decision tree, and multiple decision tree models vote together to determine the grid failure. Experiments show that the PGFD-EDT algorithm has higher stability and accuracy.

引用

页码：367 / 372

页数：6

共 50 条

[21] Research on Power Grid Fault Diagnosis Based on SVM
Ni, Huijun
Ni, Tianli
[J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 946 - 949
[22] Power Grid Fault Diagnosis Based on SSAE and CNN
Zhang, Dahai
Wu, Congzhou
Gai, Qin
Bi, Yanqiu
Zhang, Xiaowei
[J]. PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021), 2021, : 56 - 61
[23] Power Grid Fault Diagnosis Based on Smart Substation
Zhang Xu
Liu Yanhua
Zhao Dongmei
An Yongqiao
Zhang Nan
[J]. 2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
[24] An ensemble learning algorithm for machinery fault diagnosis based on convolutional neural network and gradient boosting decision tree
Zhou, Jing
Gao, Yang
Lu, Jianping
Yin, Chun
Han, Huan
[J]. Journal of Physics: Conference Series, 2021, 2025 (01):
[25] Approach for fault diagnosis in nuclear power plant based on rough set and decision tree theory
Department of Nuclear Science and Engineering, Naval University of Engineering, Wuhan 430033, China
[J]. Hedongli Gongcheng, 2007, 4 (81-84):
[26] A Fault Diagnosis Method for Information Systems Based on Weighted Fault Diagnosis Tree
Duan, Liming
Wang, Fenghai
Guo, Ruifeng
Gai, Rongli
[J]. 2017 IEEE 19TH INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES (HEALTHCOM), 2017,
[27] Fault diagnosis of power grid based on fault recorder sequential information
Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
不详
[J]. Dianli Xitong Baohu yu Kongzhi, 17 (114-119):
[28] Fuzzy set theory and fault tree analysis based method suitable for fault diagnosis of power transformer
Wu, Tong
Tu, Guangyu
Bo, Z. Q.
Klimek, A.
[J]. 2007 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS APPLICATIONS TO POWER SYSTEMS, VOLS 1 AND 2, 2007, : 468 - 472
[29] An analytic alarm information method for power grid fault diagnosis
[J]. Zhang, Xu, 1600, Chinese Society for Electrical Engineering (34):
[30] Method of fault component diagnosis in the urban power grid based on relay protection information
Chen, Xing-Ying
Chang, Hui
Yu, Kun
Li, Zhen-Kun
Chen, Dan
[J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2010, 38 (21): : 67 - 71

← 1 2 3 4 5 →