Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102653
Title: Organization of Repair of Locomotives on the Data of Moni-toring Their Technical Condition
Authors: Buynosov, A.
Yakimov, M.
Sizy, S.
Tyushev, I.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Organization of Repair of Locomotives on the Data of Moni-toring Their Technical Condition / A. Buynosov, M. Yakimov, S. Sizy, et al. — DOI 10.1088/1757-899X/918/1/012151 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 918. — Iss. 1. — 012151.
Abstract: The article discusses the structure of the organization of current repairs of modern locomotives equipped with microprocessor control and diagnostic systems. Based on these sys-tems, remote monitoring of the technical condition of locomotive units has been implemented. The block diagram of the recommendatory nature of the organization of current repairs using diagnostic information is presented. The above algorithm allows predicting the residual life by any of the studied parameters, thereby determining the mileage at the moment of which a fail-ure occurs on some parameter. This gives a huge advantage in preventing incidents, as well as in the long-term planning of repair work on wheel turning and rolling, based on the remaining life. Thus, the well-coordinated organization of current repairs using diagnostic information, allows operational methods to eliminate the faults of the nodes. A recommender structure in the form of a single integrated system for organizing repair cycles will allow establishing links between the involved repair personnel in the form of electronic terminals for notification of the actual technical condition of the locomotive. A program has been developed for calculating the residual mileage of wheel sets for the corresponding types of defects, which also allows long-term planning for turning and rolling of wheel-motor blocks wheelsets, as well as to regulate the overhaul runs of a locomotive. © Published under licence by IOP Publishing Ltd.
URI: http://hdl.handle.net/10995/102653
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85094096177
PURE ID: 20129666
c565ea86-f714-4df3-bb27-35a186e983e5
ISSN: 17578981
DOI: 10.1088/1757-899X/918/1/012151
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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