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Scientific and technical journal established by OSTU. Media registration number: ПИ № ФС77-75780 dated May 23, 2019. ISSN: 2220-4245. Subscription index in the online catalog «Subscription Press» (www.akc.ru): E28002. Subscription to the electronic version is available on the «Rucont» platform.
The journal is included in the Russian Science Citation Index and in the List of Russian Scientific Journals .

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  • V.4(20), 2014
    40-46

    Using neural networks to the problem identification of catastrophic wear parts of diesel

    The results of the study the possibility of using artificial neural networks in identification problems failure status diesel D49, the results of spectral analysis of the crankcase oil. The obtained results are needed to develop software for evaluation of the degree of wear and tear as a result of the diesel locomotive spectral analysis of engine oil.