Dynamic system fault diagnosis based on neural network modelling

被引：0

作者：

Zhou, J ^{[1
]}

Bennett, S ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

(SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3 | 1998年

关键词：

fault diagnosis; neural-networks models; gas turbines; nonlinear systems; prediction methods;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A fault diagnosis scheme for nonlinear unknown systems comprising two stages: residual generation and residual evaluation is presented. The essential step to this goal is to build up a bank of recurrent neural network models that perform long-term predictions. This scheme has advantages over conventional FDD schemes in that it can deal not only with the nonlinearity presented in the system, but it also provides useful information about the deterioration level of system. An application of the scheme for detection and identification of faults occurring in a gas turbine engine is presented. Simulation studies show the effectiveness of proposed scheme. Copyright (C) 1998 IFAC.

引用

页码：55 / 60

页数：6

共 50 条

[1] Fault Diagnosis for Embedded System Based on Neural Network
Du, G. C.
[J]. INTERNATIONAL CONFERENCE ON ADVANCED EDUCATIONAL TECHNOLOGY AND INFORMATION ENGINEERING (AETIE 2015), 2015, : 674 - 680
[2] Neural network based fault diagnosis in an HVDC system
Etemadi, H
Sood, VK
Khorasani, K
Patel, RV
[J]. DRPT2000: INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, PROCEEDINGS, 2000, : 209 - 214
[3] Fault Diagnosis Analysis of Rotor System Based on RBF Neural Network and Dynamic Systems
Zhang, SongHe
Luo, YueGang
Wu, Bin
Wang, BingCheng
[J]. ADVANCED MATERIALS AND ITS APPLICATION, 2012, 460 : 127 - +
[4] Fault diagnosis with enhanced neural network modelling
Yu, Ding-Li
Chang, Thoon-Khin
[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 2006, 3973 : 358 - 363
[5] Fault Diagnosis System Based on Dynamic Bayesian Network
Wang, Hongbo
Ma, Zhonggui
Tu, Xuyan
[J]. RECENT TRENDS IN MATERIALS AND MECHANICAL ENGINEERING MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3, 2011, 55-57 : 1824 - 1829
[6] Fault diagnosis based on neural network expert system for ATM network
Yang, Yongjian
Pan, Yongiun
[J]. DCABES 2007 Proceedings, Vols I and II, 2007, : 584 - 587
[7] Fault Diagnosis of VNA Intermediate Frequency Processing System based on Dynamic Fuzzy Neural Network
Yuan Guoping
Liu Dan
Liang Shengli
Yang Mingfei
Li Mingtai
[J]. 2015 IEEE 16TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT), 2015, : 192 - 195
[8] The fault diagnosis expert system of missile based on neural network
Wang Fan
Wu Duosheng
[J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2288 - 2291
[9] Design of fault diagnosis expert system based on neural network
Lv, Y
Sun, JS
Feng, GB
[J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1395 - 1398
[10] Automobile Fault Diagnosis System based on Improved Neural Network
Gang, Hao
[J]. 2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE), 2016, : 494 - 497

← 1 2 3 4 5 →