Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Embedded Fault Diagnosis Expert System on Weapon Equipment

Authors
Chaoyang Geng, Fenli Gao
Corresponding Author
Chaoyang Geng
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.234How to use a DOI?
Keywords
EmbeddedÿLinux;ÿFaultÿdiagnosis; Expertÿsystem; Agent
Abstract
In order to improve the work performance and mobility of the fault diagnosis expert system, a portable diagnostic client for embedded Linux operating system is developed. The data acquisition module is embedded in the device by analyzing fault-tree based troubleshooting process, using the fault symptom table for fault diagnosis. Maintenance staff determine whether the equipment is working properly in accordance with the output signal of the diagnostic Agent which is embedded in weapons equipment, and infer equipment fault information by diagnosis clients, then locate the fault source quickly. Embedded fault diagnosis expert system integrates the data acquisition functions and reasoning capabilities of the knowledge base effectively, thus allowing the maintenance staff to diagnose and repair the equipment quickly and efficiently.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.234How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chaoyang Geng
AU  - Fenli Gao
PY  - 2016/12
DA  - 2016/12
TI  - Embedded Fault Diagnosis Expert System on Weapon Equipment
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1112
EP  - 1119
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.234
DO  - https://doi.org/10.2991/mcei-16.2016.234
ID  - Geng2016/12
ER  -