A method of using neural fuzzy models to determine the technical state of a diesel locomotive’s electrical equipment

Author:

Agunov A. V.,Grishchenko A. V.,Kruchek V. A.,Grachev V. V.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering

Reference6 articles.

1. Perminov, V.A., Fedotov, M.V., Grishchenko, A.V., and Bazilevskii, F.Yu., The system for controlling technical state of 2TE116U and TEP70BS series diesel locomotives by using measuring information from onboard diagnostic means, Mezhdunar. nauchno-tekhnich. konf. “Lokomotivy. XXI vek” (Proc. Int. Sci.- Techn. Conf. “Locomotives. 21st Century”), St. Petersburg, 2013.

2. Grishchenko, A.V., Grachev, V.V., Babkov, Yu.V., Klimenko, Yu.I., Kim, S.I., Perfil’ev, K.S., and Fedotov, M.V., Artificial neuron networks apparatus for modern locomotive diagnostics, Lokomotiv, 2012, no. 7.

3. Grishchenko, A.V. and Grachev, V.V., The way to use on-board diagnostic means for increasing service efficiency of locomotives, Mezhdunar. nauchno-tekhnich. konf. “Lokomotivy. XXI vek” (Proc. Int. Sci.-Techn. Conf. “Locomotives. 21st Century”), St. Petersburg, 2013.

4. Rutkovskaya, D., Pilin’skii, M., and Rutkovskii, L., Neironnye seti, geneticheskie algoritmy i nechetkie sistemy (Neuron Networks, Genetic Algorithms and Fuzzy Systems), Moscow: Goryachaya liniya-Telekom, 2007.

5. Grachev, V.V., Perminov, V.A., and Fedotov, M.V., Neuro-fuzzy diagnostic complex for checking diesel technical state, in Nauchno-tekhnicheskie aspekty kompleksnogo razvitiya transportnoi otrasli. Materialy mezhdunar. nauchno-praktich. konf. (Proc. Int. Sci.-Pract. Conf. Scientific-Technical Aspects of All-Round Development of Transport Industry), Donetsk, 2015.

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