Open Access
MATEC Web Conf.
Volume 184, 2018
Annual Session of Scientific Papers IMT ORADEA 2018
Article Number 03009
Number of page(s) 6
Section Machines Engineering and Technologies
Published online 31 July 2018
  1. K. Patan- Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes, LNCIS 377, Springer-Verlag Berlin Heidelberg 2008. [Google Scholar]
  2. H. Demuth, M. Beale-Neural Network Toolbox For Use with MATLAB®, The MathWorks, Inc., 2014. [Google Scholar]
  3. M. T. Hagan, H. B. Demuth, M. H. Beale, O. De Jesús- Neural Network Design, Second Edition, 2014, ebook. [Google Scholar]
  4. P. M. Frank, B. Koppen-Seliger New Developments Using AI in Fault Diagnosis, Engng. Applic. Artif Intel. Vol. 10, No. 1, pp. 3-14, 1997 © 1997 Elsevier Science Ltd. [CrossRef] [Google Scholar]
  5. H.N. Kolvo, Artificial Neural Networks In Fault Diagnosis And Control, Control Eng. Practice, Vol. 2, No. 1, pp 89-101, 1994, Printed in Great Britain. [Google Scholar]
  6. J. R. Rabunal and J. Dorrado Artificial Neural Networks In Real-Life Applications, Idea Group Publishing, 2006, London. [CrossRef] [Google Scholar]
  7. L. H. Chiang, E. L. Russell and R. D. Braatz, Fault detection and diagnosis in industrial systems, Springer-Verlag London Limited, 2002. [Google Scholar]
  8. J. Korbicz : J.M. Koscielny - Z. Kowalczuk : W. Cholewa, Fault Diagnosis-Models, Artificial Intelligence, Applications, Springer-Verlag Berlin Heidelberg GmbH, 2004. [Google Scholar]
  9. B. Lei, D. de Ridder, D. M. J. Tax, F. van der Heijden, G. Xu, M. Feng, Y. Zou - Classification, Parameter Estimation and State Estimation An Engineering Approach Using MATLAB, Second Edition, 2017 JohnWiley & Sons, Ltd. [Google Scholar]
  10. A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2006. [CrossRef] [Google Scholar]
  11. J. Korbicz, M. Mrugalski: Confidence estimation of GMDH neural networks and its application in fault detection systems, International Journal of Systems Science (2007) DOI: 10.1080/00207720701847745 [Google Scholar]
  12. G. Grebenişan, S. Bogdan, N. Salem: The lubricants parameters monitoring and data collecting, Annual Session Of Scientific Papers, “IMT ORADEA 2018”, Volume XXVII (XVII), ISBN 978-606-10-1537-5, Oradea, 2018 [Google Scholar]

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