Multi-BP expert system for fault diagnosis of power system

被引：72

作者：

Ma, Deyin ^{[1
]}

Liang, Yanchun ^{[1
]}

Zhao, Xiaoshe ^{[1
]}

Guan, Renchu ^{[1
]}

Shi, Xiaohu ^{[1
]}

机构：

[1] Jilin Univ, Minist Educ, Key Lab Symbol Computat & Knowledge Engn, Coll Comp Sci & Technol, Changchun 130023, Peoples R China

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2013年 / 26卷 / 03期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Power system; Expert system; Multi-BP networks; CLASSIFICATION;

D O I：

10.1016/j.engappai.2012.03.017

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fault diagnosis and assessment is a crucial and difficult problem for power system. Back propagation neural network expert system (BPES) is an often used method in fault diagnosis. However, with the layer numbers increasing, BPES becomes time consuming and even hard to converge. To solve this problem, we divide the whole networks into many sub-BP groups within a short depth and then propose a novel Multi-BP expert system (MBPES) based method for power system fault diagnosis. We use two real power system data sets to test the effectiveness of MBPES. Experimental results show that MBPES obtains higher accuracy than two commonly used methods. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：937 / 944

页数：8

共 50 条

[41] Research of a new transformer fault diagnosis expert system
Shao, Minfeng
Qiu, Congming
2012 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2012,
[42] Hydraulic Fault Diagnosis Expert System of Excavator Based on Fault Tree
Li, Guoping
Zhang, Qingwei
MACHINERY, MATERIALS SCIENCE AND ENGINEERING APPLICATIONS, PTS 1 AND 2, 2011, 228-229 : 439 - 446
[43] Expert System for Fault Intelligence Diagnosis of Gasoline Engine
Wang, Jinping
GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS II, 2012, 214 : 711 - 716
[44] Fault Diagnosis Using Bond Graphs in an Expert System
Zhou, Zhuoran
Ma, Zhanguo
Jiang, Yingying
Peng, Minjun
ENERGIES, 2022, 15 (15)
[45] Expert System Based Fault Detection of Power Transformer
Nagpal, Tapsi
Brar, Yadwinder Singh
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2015, 12 (02) : 208 - 214
[46] Research for CNC Machine Tool Servo System Fault Diagnosis Expert System
Wang Shuqiang
Gao Jingge
Lu Wei
MATERIALS AND DESIGN, PTS 1-3, 2011, 284-286 : 2489 - 2492
[47] Research on the Fault Diagnosis of Mechanical Equipment Vibration System Based on Expert System
Wang, Yun
2018 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC), 2018, : 636 - 641
[48] STUDY OF A FAULT DIAGNOSIS EXPERT SYSTEM FOR SYNTHETIC MINING SYSTEM HYDRAULIC SUPPORT
韩以伦
Journal of Coal Science & Engineering(China), 2000, (01) : 72 - 75
[49] An expert system for fault diagnosis and restoration of Iran's 400 KV network
Khaparde, SA
Jadid, S
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 1997, 5 (02): : 107 - 114
[50] An Expert System for Power Transformer Fault Diagnosis Using Advanced Generalized Stochastic Petri Net
Pamuk, Nihat
Uyaroglu, Yilmaz
PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (08): : 350 - 353

← 1 2 3 4 5 →