DC MOTOR FAULT DIAGNOSIS BY MEANS OF ARTIFICIAL NEURAL NETWORKS

Krzysztof Patan, Józef Korbicz, Gracjan Głowacki

2007

Abstract

The paper deals with a model-based fault diagnosis for a DC motor realized using artificial neural networks. The considered process was modelled by using a neural network composed of dynamic neuron models. Decision making about possible faults was performed using statistical analysis of a residual. A neural network was applied to density shaping of a residual, and after that, assuming a significance level, a threshold was calculated. Moreover, to isolate faults a neural classifier was developed. The proposed approach was tested in DC motor laboratory system at the nominal operating conditions as well as in the case of faults.

References

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Paper Citation


in Harvard Style

Patan K., Korbicz J. and Głowacki G. (2007). DC MOTOR FAULT DIAGNOSIS BY MEANS OF ARTIFICIAL NEURAL NETWORKS . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 11-18. DOI: 10.5220/0001625400110018


in Bibtex Style

@conference{icinco07,
author={Krzysztof Patan and Józef Korbicz and Gracjan Głowacki},
title={DC MOTOR FAULT DIAGNOSIS BY MEANS OF ARTIFICIAL NEURAL NETWORKS},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={11-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001625400110018},
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 - DC MOTOR FAULT DIAGNOSIS BY MEANS OF ARTIFICIAL NEURAL NETWORKS
SN - 978-972-8865-82-5
AU - Patan K.
AU - Korbicz J.
AU - Głowacki G.
PY - 2007
SP - 11
EP - 18
DO - 10.5220/0001625400110018