Open Access
Issue |
MATEC Web Conf.
Volume 178, 2018
22nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018
|
|
---|---|---|
Article Number | 07002 | |
Number of page(s) | 6 | |
Section | Innovation, Creativity, Learning and Education in Engineering | |
DOI | https://doi.org/10.1051/matecconf/201817807002 | |
Published online | 24 July 2018 |
- R.E. Barlow, F. Proschan. Mathematical Theory of Reliability (J.Wiley & Sons, New York 1995) [Google Scholar]
- L. Będkowski, T. Dąbrowski. The Basis of Exploitation, Part II: The Basis of Exploational Reliability (Military University of Technology, Poland, 2006) [Google Scholar]
- A. Birolini, Reliability Engineering Theory and Practice (Springer, New York, 1999) [CrossRef] [Google Scholar]
- B. Buchannan, E. Shortliffe. Rule - Based expert systems (Addison - Wesley Publishing Company, 1985) [Google Scholar]
- S. Duer, Diagnostic system for the diagnosis of a reparable technical object, with the use of an artificial neural network of RBF type. Neural Computing & Applications 19(5), 691-700 (2010) [CrossRef] [Google Scholar]
- S. Duer, R. Duer. Diagnostic system with an artificial neural network which determines a diagnostic information for the servicing of a reparable technical object. Neural Computing & Applications 19(5), 755-766 (2010) [CrossRef] [Google Scholar]
- S. Duer Artificial neural network in the control process of object's states basis for organization of a servicing system of a technical objects. Neural Computing & Applications, 21(1), 153-160 (2012) [CrossRef] [Google Scholar]
- S. Duer, K. Zajkowski. Taking decisions in the expert intelligent system to support maintenance of a technical object on the basis information from an artificial neural network. Neural Computing & Applications 23(7), 2185-2197 (2013) [CrossRef] [Google Scholar]
- S. Duer, K. Zajkowski, R. Duer, J. Paś. Designing of an effective structure of system for the maintenance of a technical object with the using information from an artificial neural network. Neural Computing & Applications, 23(3-4), 913-925 (2013) [CrossRef] [Google Scholar]
- S. Duer, Applications of an artificial intelligence for servicing of a technical object. Neural Computing & Applications 22(5), 955-968 (2013) [CrossRef] [Google Scholar]
- S. Duer, D. Bernatowicz. The computer diagnostic program (DIAG 2) for identifying states of complex technical objects. E3S Web of Conferences, 19, 01029 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
- M. Madan, M. Gupta, J. Liang, N. Homma, Static and Dynamic Neural Networks, From Fundamentals to Advanced Theory (John Wiley & Sons, Inc, Hoboken, New Jersey, 2003) [Google Scholar]
- T. Nakagawa. Maintenance Theory of Reliability (Springer - Verlag London Limited, 2005) [Google Scholar]
- T. Nakagawa, K. Ito. Optimal inspection policies for a storage system with degradation at periodic tests. Math. Comput. Model 31, 191-195 (2000) [CrossRef] [Google Scholar]
- K. Zajkowski. The method of solution of equations with coefficients that contain measurement errors, using artificial neural network. Neural Computing and Applications 24(2), 431-439 (2014) [CrossRef] [Google Scholar]
- K. Zajkowski. An innovative hybrid insulation switch to enable/disable electrical loads without overvoltages. E3S Web of Conferences 19, 01033 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
- K. Zajkowski. Settlement of reactive power compensation in the light of white certificates. E3S Web of Conferences 19, 01037 (2017) [CrossRef] [EDP Sciences] [Google Scholar]
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