Abstract
This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored. Furthermore, the results achieved in the diagnostics and the methods of the neural network application as a possible additional tool of diagnostic methods are presented in this paper.
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References
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Latina, P., Pavlík, J., Hammer, M. (2010). Neural Networks: Off-Line Diagnostic Tools of High-Voltage 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_23
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DOI: https://doi.org/10.1007/978-3-642-05022-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05021-3
Online ISBN: 978-3-642-05022-0
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