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Authors: Gang Yao and Tianhao Tang

Affiliation: Shanghai Maritime University, China

Keyword(s): Multi-agent system, Monitoring and diagnosis system, Data mining, Fuzzy neural networks.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Software Agents for Intelligent Control Systems

Abstract: This paper presents a hybrid intelligent multi-agent method for monitoring and faults diagnosis. A new diagnosis process, combined with data mining and neural networks, are discussed as well as the functions and structure of agent which implements these algorithms. At last, some simulation results are shown to demonstrate the efficiency of the proposed system.

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Paper citation in several formats:
Yao, G. and Tang, T. (2007). A HYBRID INTELLIGENT MULTI-AGENT METHOD FOR MONITORING AND FAULTS DIAGNOSIS. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 155-160. DOI: 10.5220/0001647501550160

@conference{icinco07,
author={Gang Yao. and Tianhao Tang.},
title={A HYBRID INTELLIGENT MULTI-AGENT METHOD FOR MONITORING AND FAULTS DIAGNOSIS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001647501550160},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A HYBRID INTELLIGENT MULTI-AGENT METHOD FOR MONITORING AND FAULTS DIAGNOSIS
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Yao, G.
AU - Tang, T.
PY - 2007
SP - 155
EP - 160
DO - 10.5220/0001647501550160
PB - SciTePress