ENTROPY OF TECHNICAL CONDITIONS OF TRAIN OF MACHINES
Abstract
The authors argue that continued monitoring of technical data makes possible to increase operation reliability of train of machines via prompt detection of the conditions of rolling stock that precede failures. The article describes the two-level structural and troubleshooting pattern of generalized machine that serves to explicitly detect the risk of failure for given systems and devices as well as for the vehicle in the large. Technical state of the machine is detected once entropy decreasing is equal to its maximal value.
About the Authors
V. D. Vereskun
Siberian State University of Railway Engineering
Russian Federation
D.Sc. (Tech), rector
Russian Federation
D.Sc. (Tech), rector
A. L. Manakov
Siberian State University of Railway Engineering
Russian Federation
Ph.D. (Tech), associate professor, first pro-rector
Russian Federation
Ph.D. (Tech), associate professor, first pro-rector
A. Yu. Kirpichnikov
Siberian State University of Railway Engineering.
Russian Federation
Ph.D. candidate, head of educational service center
Russian Federation
Ph.D. candidate, head of educational service center
References
1. Вентцель Е.С. Теория вероятностей.– М.: Наука,1969.
2. Сидоров В.И. Информационная функционально-диагностическая модель дизельного двигателя/Труды МАДИ.– М., 1978.
Review
For citations:
Vereskun V.D., Manakov A.L., Kirpichnikov A.Yu. ENTROPY OF TECHNICAL CONDITIONS OF TRAIN OF MACHINES. World of Transport and Transportation. 2012;(3):4-9. (In Russ.)
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