Proceedings of the 2016 International Conference on Engineering Science and Management

Functional Modeling of Monitoring & Diagnosis System Based on Multi-Agents

Authors
Bing Xu, Hongli Wang, Xuedong Xue
Corresponding Author
Bing Xu
Available Online August 2016.
DOI
10.2991/esm-16.2016.3How to use a DOI?
Keywords
Agent, monitoring and diagnosis, function model
Abstract

Intelligent monitoring and diagnosis is the development trend of diagnosing failures in modern times. This article contrives a method for functional modeling of monitoring and diagnosis system based on multi-agents in the conception of modularization, and expounds the internal configuration of each functional Agent in the model, which is featured by uniform information interfaces, and construction of the system with different functional components depending upon various objects to be monitored. The model is valuable to guide realizing intelligent monitoring and diagnosis system, and helpful in constructing integrated, intelligent, automated and networked diagnosis system.

Copyright
© 2016, 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 2016 International Conference on Engineering Science and Management
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
10.2991/esm-16.2016.3
ISSN
2352-5401
DOI
10.2991/esm-16.2016.3How to use a DOI?
Copyright
© 2016, 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  - Bing Xu
AU  - Hongli Wang
AU  - Xuedong Xue
PY  - 2016/08
DA  - 2016/08
TI  - Functional Modeling of Monitoring & Diagnosis System Based on Multi-Agents
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.3
DO  - 10.2991/esm-16.2016.3
ID  - Xu2016/08
ER  -