Abstract
The article is focused on the applied artificial intelligence in the diagnostics of electric machines. Attention is paid to some developmental trends of artificial intelligence, for example, neural networks, fuzzy systems, genetic algorithms and expert systems. Having in mind the intended future usage in electric machine diagnostics the accent is placed on the analysis of topology and behaviour of an artificial intelligence method – fuzzy systems. The obtained results are evaluated in detail.
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References
Hammer, M.: Metody umělé inteligence v diagnostice elektrických strojů (Artificial Intelligence Methods in Electric Machine Diagnostics), p. 400 (2009) ISBN 978-80-7300-231-2
Hammer, M.: Fuzzy modely a umělá inteligence v diagnostice izolačních materiálů (Fuzzy Models and Artificial Intelligence in Insulation Material Diagnostics), 1st edn., p. 120 (2003) ISBN 80-214-2331-5
Kozlovský, T.: Aplikace umělé inteligence v diagnostice izolačních systémů (Artificial Intelligence Applied to Insulation Systems Diagnostics), Ph.D. Thesis, VUT Brno (2004)
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Hammer, M., Šimková, M., Ministr, M. (2010). Artificial Intelligence in Diagnostics of Electric Machines. In: Brezina, T., Jablonski, R. (eds) Recent Advances in Mechatronics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05022-0_24
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DOI: https://doi.org/10.1007/978-3-642-05022-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05021-3
Online ISBN: 978-3-642-05022-0
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