Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

Expert System of Fault Diagnosis of Dry-mixed Mortar Fieldbus Control System

Authors
Huan Zhang, Shuqi Shang, Dongwei Wang, Jiasheng Wang, Ranbing Yang
Corresponding Author
Huan Zhang
Available Online August 2013.
DOI
10.2991/icaise.2013.18How to use a DOI?
Keywords
Dry-mixed mortar, filedbus control system, expert system, fault diagnosis, Fault Tree Analysis
Abstract

A design and implementation of expert system of fault diagnosis of dry-mixed mortar based on Profibus field-bus and large-scale PLC is proposed in this paper. Firstly, the control principle and algorithm, hardware choice and integration of the control system are introduced. Secondly, by analyzing the composition, structure and performance of dry-mixed mortar control system, the types, range, and causes of this control system were investigated. Finally, after comparing the fault diagnosis of traditional theories and modern ones, the expert system of fault diagnosis of this control system using Fault Tree Analysis was established.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-71-0
ISSN
1951-6851
DOI
10.2991/icaise.2013.18How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huan Zhang
AU  - Shuqi Shang
AU  - Dongwei Wang
AU  - Jiasheng Wang
AU  - Ranbing Yang
PY  - 2013/08
DA  - 2013/08
TI  - Expert System of Fault Diagnosis of Dry-mixed Mortar Fieldbus Control System
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 77
EP  - 81
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.18
DO  - 10.2991/icaise.2013.18
ID  - Zhang2013/08
ER  -