Open Access
| Issue |
BIO Web Conf.
Volume 27, 2020
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2020)
|
|
|---|---|---|
| Article Number | 00022 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/20202700022 | |
| Published online | 25 November 2020 | |
- V.N. Khabardin, Resource-saving technologies, methods and means of tractor maintenance, Monograph (Irkutsk State Agricult. Acad., Irkutsk, 2009), 384 p. [Google Scholar]
- R. Khodabakhshian, A review of maintenance management of tractors and agricultural machinery: Preventive maintenance systems, Agricult. Eng. Int.: CIGR J. 15, 147–159 (2013) [Google Scholar]
- A. Rohani, Prediction of tractor repair and maintenance costs using Artificial Neural Network, Expert Syst. with Applicat. 38, 8999–9007 (2011) [CrossRef] [Google Scholar]
- C.J.A. Ter Berg, Expert judgement based maintenance decision support method for structures with a long service-life, Struct. and infrastruct. Engineer. 15(4), 492–503 (2019) [CrossRef] [Google Scholar]
- E.I. Kubeev, Features of the direction of reducing the complexity of maintenance of automotive machinery, in: Proc. of the Int. Acad. of Agricult. Ed. 38, 9–13 (2018) [Google Scholar]
- N.V. Chubareva, Resource-saving by choosing methods of tractors maintenance, in: Conf. Ser. Mater. Sci. and Engineer. 632(1), 012045 (2019) [Google Scholar]
- I.P. Tersky, Calculation and selection of organizational forms and means of technical maintenance of the machine and tractor fleet in the department (team) of an agricultural enterprise using a personal computer (Irkutsk, 2002), p. 37 [Google Scholar]
- D.M. Voronin, Forecasting operating costs for equipment maintenance, Mechanizat. and electrificat. 4, 60–66 (2009) [Google Scholar]
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