Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Multi-agent System for Monitoring, Diagnosis and Forecasting the Yechnical System Condition with the Car as an Example

Authors
Nikita Nikitin, Alexey Kizim, Anna Matokhina
Corresponding Author
Nikita Nikitin
Available Online May 2016.
DOI
10.2991/itsmssm-16.2016.96How to use a DOI?
Keywords
diagnosis, forecasting, technical system, multi-agent system
Abstract

This paper describes a multi-agent system for monitoring, diagnosis and forecasting the technical system condition with the car as an example. The system consists of four agents: the monitoring agent (collects reports on the condition of the vehicle, handles requests from the user and displays the response), diagnostic agent (reads log files, parses the parameters of the car), forecasting agent (determines the future values of the parameters and diagnoses predicted values), the data collection agent.

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 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
10.2991/itsmssm-16.2016.96How 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  - Nikita Nikitin
AU  - Alexey Kizim
AU  - Anna Matokhina
PY  - 2016/05
DA  - 2016/05
TI  - Multi-agent System for Monitoring, Diagnosis and Forecasting the Yechnical System Condition with the Car as an Example
BT  - Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 495
EP  - 500
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.96
DO  - 10.2991/itsmssm-16.2016.96
ID  - Nikitin2016/05
ER  -