Design of a Fault Diagnosis Equipment

被引：0

作者：

Yong, Wu ^{[1
]}

Zhang, Jianhu ^{[1
]}

Chen, Shichun ^{[1
]}

Yang, Bin ^{[2
]}

Zhang, Jun ^{[2
]}

机构：

[1] Army Engn Univ PLA, Ordnance NCO Acad, Wuhan 430075, Peoples R China

[2] 32272 Unit, Lanzhou 730000, Peoples R China

来源：

2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2020年 / 440卷

关键词：

D O I：

10.1088/1755-1315/440/4/042070

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In the process of daily maintenance and repair of a certain type of equipment, there are problems of long fault diagnosis time and untimely repair. A set of fault diagnosis equipment has been developed for this purpose. The device adopts C8051F120 microprocessor and consists of interface circuit board, excitation signal board, single chip computer board, signal conditioning board, fault diagnosis expert system, etc. It can detect the main performance parameters of the tested equipment, and combined with the fault diagnosis expert system, it can realize the function of performance detection, fault diagnosis location and data storage record, and effectively improve the efficiency of fault diagnosis of the tested equipment.

引用

页数：6

共 50 条

[1] Design and Application of a Reconstruction System for Engineering Equipment Fault Diagnosis
LI Jie1
2 Xuzhou Air Force College
3 Command Institution of Engineering Corps
[J]. International Journal of Plant Engineering and Management, 2009, 14 (03) : 136 - 141
[2] Design and Realization of Remote Fault Diagnosis System for Manufacturing Equipment
Liu, Jia
Ma, Chong-qi
[J]. ASIA-PACIFIC YOUTH CONFERENCE ON COMMUNICATION TECHNOLOGY 2010 (APYCCT 2010), 2010, : 329 - 332
[3] Design on Fault Diagnosis Expert System for Railway Signal Equipment
Wu, Guangrong
[J]. PROCEEDINGS OF THE 2018 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY (ICMMCT 2018), 2018, 152 : 36 - 41
[4] Design of Equipment Online Monitoring and Fault Diagnosis Platform Based on IOT
Yang, Luxia
Zhang, Guihua
Wu, Peng
[J]. 5TH ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2020), 2020, 1575
[5] Fault diagnosis of petrochemical equipment based on active fault diagnosis technology
Sun, Guoxi
Sun, Feihao
Zhang, Huawei
Hu, Qin
Qin, Aisong
[J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2018, 124 : 64 - 64
[6] Research on Design of Fault Diagnosis Training Using Electronic Equipment Virtual Prototype
Zhao, Chun-Yu
Liu, Jing-Jiang
Tang, Wei
Huo, Li
Ma, Lun
[J]. 2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 627 - 630
[7] Design of electronic equipment fault diagnosis training system based on graphical platform
Cheng, Zhiyong
Zhu, Zhongtao
Xie, Rongyue
Shu, Deqiang
Lei, Qiu
[J]. PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER, MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING (ICCMCEE 2015), 2015, 37 : 922 - 926
[8] Design of Fast Fault Diagnosis System for Transformer Equipment based on CBR and RBR
Ni, Hui
Xu, Xiaolu
Gong, Hao
Luo, Chuanxian
Zhou, Zhengqin
[J]. 2020 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY, ENVIRONMENT AND CHEMICAL ENGINEERING, PTS 1-5, 2020, 546
[9] Fault diagnosis of plasma etch equipment
Ison, AM
Li, W
Spanos, CJ
[J]. 1997 IEEE INTERNATIONAL SYMPOSIUM ON SEMICONDUCTOR MANUFACTURING CONFERENCE PROCEEDINGS, 1997, : B49 - B52
[10] Research and Design of the Remote Fault Diagnosis System for Complicated Equipment Based on Intelligent IETM
Sun, Hanbing
Xu, Zongchang
Zhu, Jian
[J]. MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1564 - 1568

← 1 2 3 4 5 →