Research on Architecture of Distributed Fault Diagnosis System for Complex Equipment

被引:0
作者
Shen Yuhao [1 ]
Meng Chen [1 ]
机构
[1] Mech Engn Coll, Shijiazhuang 050003, Peoples R China
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3 | 2008年
关键词
fault diagnosis; network; CBM; multi view;
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
Complex equipments are optical-mechanical-electrical products, whose structures are complicated, and which scatter largely. In addition, diagnosis resources are limited. So maintaining the equipments is difficult. This paper presents the architecture of fault diagnosis system for complex equipments based on the network according to Condition-Based Maintenance (CBM) in order to solve the problem of maintaining the complex equipments. The concept of multi view is introduced to show the detailed features of the fault diagnosis system. The system architecture is fully described in operational structure, logical structure, major function, collaborative diagnosis, and information flow respectively on the basis of the multi view. This paper is the important theoretical basis of designing the practical fault diagnosis system.
引用
收藏
页码:1615 / 1618
页数:4
相关论文
共 50 条
[21]   Research on fault diagnosis and fault location of nuclear power plant equipment [J].
Huang, Xue-ying ;
Xia, Hong ;
Yin, Wen-zhe ;
Liu, Yong-kuo .
ANNALS OF NUCLEAR ENERGY, 2024, 205
[22]   Research on intelligent fault diagnosis model for complicated equipment [J].
Zuo Xianzhang ;
Kang Han ;
Wang Jianbin ;
Wang Jin .
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, :2485-2488
[23]   Research on remote fault diagnosis system with design of the mine enterprise equipment based on VPN [J].
Zhu, LingLi ;
Tan, Qing .
ADVANCED DEVELOPMENT OF ENGINEERING SCIENCE IV, 2014, 1046 :331-334
[24]   Design of Technical Architecture of Top-drive Equipment Fault Diagnosis System Based on Cloud Platform [J].
Liu Shuguang ;
Zhang Guangyong ;
Zhang Long .
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, :5490-5494
[25]   Study on Tactic of Fault Diagnosis of Complex Equipment Based on Knowledge [J].
Zhang Chengtao ;
Ma Cenrui ;
Chen Zhanhui .
ISTM/2011: 9TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, 2011, :161-164
[26]   Embedded Fault Diagnosis Expert System on Weapon Equipment [J].
Geng, Chaoyang ;
Gao, Fenli .
PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 :1112-1119
[27]   Fault diagnosis for the complex manufacturing system [J].
Dang Trinh Nguyen ;
Quoc Bao Duong ;
Zamai, Eric ;
Shahzad, Muhammad Kashif .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2016, 230 (02) :178-194
[28]   Research on Application of Fuzzy Fault Tree Analysis in the Electronic Equipment Fault Diagnosis [J].
Liang Xiao-lin ;
Zhao Yan-xia ;
Zhou Zeng-hui .
2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 2, 2010, :65-67
[29]   Virtual Fault Diagnosis System of Equipment Based on VIRTOOLS [J].
Shen, Bin ;
Zhang, Liang ;
Huang, Wen-sheng ;
Yuan, Tao .
2ND INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, ELECTRONICS AND MECHATRONICS ENGINEERING (AMEME), 2017, :36-40
[30]   A distributed power system fault diagnosis system based on recorded fault datum [J].
Du, Y ;
Zhang, PC ;
Yu, WY .
IPEC 2003: PROCEEDINGS OF THE 6TH INTERNATIONAL POWER ENGINEERING CONFERENCE, VOLS 1 AND 2, 2003, :859-863