ASSESSMENT OF PARAMETERS OF ALGORITHMS OF DIAGNOSING OF SYSTEMS OF CARS IN THE CONDITIONS OF HIGH DEGREE OF UNCERTAINTY OF BASIC DATA
https://doi.org/10.26518/2071-7296-2017-3(55)-94-99
Abstract
In this article questions of an assessment of parameters of algorithms of diagnosing of systems of cars are considered. Justification of need of realization of actions for ensuring human-machine compatibility at an equipment design stage is given. The model of an assessment of parameters of algorithms of diagnosing of systems of cars on the basis of use of the device of fuzzy logic is developed. As basic data are used the parameter of real processes.
About the Authors
V. E. Ovsyannikov
Kurgan state university
Russian Federation
Russian Federation
Ovsyannikov Victor Evgenyevich is Candidate of Technical Sciences, the associate professor “Innovatics and quality management”
(640020, Kurgan, Sovetskaya St. 63, p. 4)
V. I. Vasilyev
Kurgan state university
Russian Federation
Russian Federation
Vasilyev Valery Ivanovich is Doctor of Engineering, professor of “Motor Transport and Car Service” department
(640020, Kurgan, Sovetskaya St. 63, p. 4)
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Review
For citations:
Ovsyannikov V.E., Vasilyev V.I. ASSESSMENT OF PARAMETERS OF ALGORITHMS OF DIAGNOSING OF SYSTEMS OF CARS IN THE CONDITIONS OF HIGH DEGREE OF UNCERTAINTY OF BASIC DATA. The Russian Automobile and Highway Industry Journal. 2017;(3(55)):94-99. (In Russ.) https://doi.org/10.26518/2071-7296-2017-3(55)-94-99
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