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.

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