A HYBRID INTELLIGENT MULTI-AGENT METHOD FOR MONITORING AND FAULTS DIAGNOSIS

Gang Yao, Tianhao Tang

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.

References

  1. Edgar, T. F., Dixon, D. A., and REKLAITIS, G. V., 2000, Vision 2020: Computational Needs of the Chemical Industry, (University of Texas Press).
  2. Parunak, V., 1994, Applications of distributed artificial intelligence in industry. In O'Hare and Jennings, (eds) Foundations of Distributed Artificial Intelligence (Chichester: Wiley Inter-Science).
  3. Luder, A., et al., 2001, Industrial requirement and overall specification. Prepared within the PABADIS IST research project no. IST-1999-60016. Available at www.pabadis.org.
  4. H.Worn,et al, 2002, A distributed multi-agent architecture for monitoring and diagnosis
  5. Tianhao Tang, Tianzhen Wang. 2005, ANN-based multiple dimension predictor for ship route prediction. Proceedings of ICINCO 2005, Barcelona, Spain
  6. Tianzhen Wang, Tianhao Tang. 2004 A Mult-dimension Predictor based on PDRNN.ICARCV, P1359-1364
  7. Tang, T. et al 1998. A fuzzy and neural network integrated intelligence approach for fault diagnosing and monitoring. Proceedings of the 1998 UKACC International Conference on Control, vol.2, pp.975- 980. Swansea, UK.
  8. Tianhao Tang, Yao Gang. June 27-29, 2005, A Faulttolerant Control Method Based on Adaptive Fuzzy Neural Networks for Ship Control System, 2005 International Conference on Control and Automation, Budapest, Hungary
Download


Paper Citation


in Harvard Style

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, pages 155-160. DOI: 10.5220/0001647501550160


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Yao G.
AU - Tang T.
PY - 2007
SP - 155
EP - 160
DO - 10.5220/0001647501550160