Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Design and Implementation of Jess based on Intelligent Diagnosis System Paper

Authors
Fan Zhang, Zheng Luo, XiKun Wu
Corresponding Author
Fan Zhang
Available Online November 2014.
DOI
10.2991/meic-14.2014.48How to use a DOI?
Keywords
diagnosis system; Jess; reasoning under uncertainty; fact base; inference engine
Abstract

This paper introduces how to achieve a Jess-based intelligent diagnosis system of local ventilation in the mine field, analyzes how to add rules engine Jess into the development of intelligent diagnosis system, at the same time, it leads the theory of statistics into the inference engine to achieve the reasoning under uncertainty, to reduce the gas explosion in coalmine accident and to improve the security of ventilation with positive significance.

Copyright
© 2014, 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/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
978-94-62520-42-4
ISSN
2352-5401
DOI
10.2991/meic-14.2014.48How to use a DOI?
Copyright
© 2014, 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  - Fan Zhang
AU  - Zheng Luo
AU  - XiKun Wu
PY  - 2014/11
DA  - 2014/11
TI  - Design and Implementation of Jess based on Intelligent Diagnosis System Paper
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 213
EP  - 216
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.48
DO  - 10.2991/meic-14.2014.48
ID  - Zhang2014/11
ER  -