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In 2001 the quality management system of DYNAMICS SPC was put through facultative certification. In 2018 it was recertified for compliance with standards ISO 9001:2008. Its results confirmed a high level of goods and services quality management.
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Home Publications Articles On-line monitoring of motor driven rolling stock

On-line monitoring of motor driven rolling stock

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Monitoring motor driven rolling stock is monitoring of electric assemblies to determine and predict the moment of their transition to the limit state. This is accomplished by periodically diagnostics of adjacent time intervals which are significantly shorter than the failure interval to a critical value.

Automatic monitoring - is an automatic comprehensive diagnostics of technical condition with the required completeness (covering at least 80% of the main faults), spread in time and available to the staff at all levels to make reasoned decisions. This approach allows us to control the state of MDRS by timely maintenance and repair, i.e. maintain and repair only those units which need to be repaired in the upcoming period of operation.

Automatic diagnostics is possible only together with automated expert system fault location, which eliminates the human error of diagnostician and reduces the labor intensity and period of diagnostics.

Linking all diagnostic systems at the depot and on-board devices of sections into a single monitoring system provides timely information about the technical condition of operated and repaired units and train in general, to the responsible staff of depot (plant). At the same time the following problem are solved: significantly decrease of human factor and minimization of errors to a level limited by accepted diagnostic methodology, decrease of labor intensity and duration of diagnostics, providing a small interval of diagnostics and minimization the dynamic errors.

 

Kostyukov V.N., Kostyukov A.V., Sizov S.V., Aristov V.P. On-line monitoring of motor driven rolling stock // Rail transport. - 2008. - №6. - p. 41-42

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Tags: diagnostics rolling stock technical condition monitoring Date: 24.02.2012
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