Article Title
Using neural networks to the problem identification of catastrophic wear parts of diesel
Article reference
Ovcharenko S. M. , Minakov V. A. , Vedruchenko V. R.
Using neural networks to the problem identification of catastrophic wear parts of diesel Izvestiia Transsiba – The Trans-Siberian Bulletin,
2014, no. 4(20), pp. 40 – 46.
Abstract
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.
