Fuzzy fault diagnosis system for a 200 MW turbo-generator set

被引：0

作者：

Yang, Ping ^{[1
]}

Wu, Jie ^{[1
]}

Feng, Yongxin ^{[1
]}

机构：

[1] South China Univ of Technology, Guangzhou, China

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2001年 / 25卷 / 01期

关键词：

Electric fault currents - Fuzzy sets - Mathematical models - Problem solving - Strategic planning;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Aiming at the low accuracy of current fuzzy diagnosis system, the paper analyzes the main cause of the low accuracy, and then proposes a new diagnosis strategy based on the varying-weight model of comprehensive evaluation and expanded membership function for fault diagnosis. The new diagnosis strategy has some essential difference from conventional systems in evaluation model and definition of fuzzy membership functions. Based on the new diagnosis strategy, a fault diagnosis system for 200 MW turbo-generator set is designed and programmed. The application results prove that the original idea is effective in solving practical problems. This project is supported by Natural Science Foundation of Guangdong Province (No. 994227, 980874).

引用

页码：45 / 49

共 50 条

[21] ON MODEL UPDATING OF TURBO-GENERATOR SET
Bachschmid, N.
Ricci, R.
Chatterton, S.
Pennacchi, P.
8TH IFTOMM INTERNATIONAL CONFERENCE ON ROTOR DYNAMICS (IFTOMM ROTORDYNAMICS 2010), 2010, : 738 - 745
[22] Vibration Behaviour of a Turbo-Generator Set
Hahn, Wolfgang
Sinha, Jyoti K.
VIBRATION ENGINEERING AND TECHNOLOGY OF MACHINERY, 2015, 23 : 155 - +
[23] Application of fractal exponent wavelet network in fault diagnosis system of turbo-generator set - art. no. 635841
Huang Weili
Huang Weijian
Li Guanjun
Sensors, Automatic Measurement, Control, and Computer Simulation, Pts 1 and 2, 2006, 6358 : 35841 - 35841
[24] Fault diagnosis method based on wavelet neural network for power system turbo-generator
Guangbin, Ding
Peilin, Pang
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 6, 2007, : 259 - +
[25] Research On Diagnosis Rule Acquisition For Turbo-Generator Unit Rotor Misalignment Fault Based On Rough Set
Xie, Q. Y.
Gu, Y. J.
Zhang, G. K.
Huang, N. C.
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 2222 - 2226
[26] Fault diagnosis scheme for turbo-generator based on genetic neural network
Chen, Changzheng
Gou, Yi
Wang, Yi
Tang, Renyuan
Gaodianya Jishu/High Voltage Engineering, 2003, 29 (08):
[27] New method for fault analysis and diagnosis of interturn in turbo-generator rotor
Dianli Xitong Zidonghue, 6
[28] Fault Diagnosis of Turbo-Generator Based on Fuzzy Multi-Objective Decision-Making Model
Liao, Wei
Duan, Xiaohui
Wen, Lu
2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL II, 2009, : 25 - 28
[29] Application of wavelet transform and fuzzy theory for turbo-generator fault mode classification
Wang Huaying
Wang Guangjian
ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL III, 2007, : 442 - +
[30] Fault Diagnosis and treatment of Abnormal vibration of vertical condenser pump motor towards Ultra-supercritical 660MW turbo-generator set
Li, Wanjun
Li, Xiaoxia
Huang, Tianqi
Niu, Qingliang
Zhang, Deke
Dong, Yang
2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION, 2019, 252

← 1 2 3 4 5 →