BACKGROUND EVALUATION CRITERIA IMPACT OF DIAGNOSTICS FOR IMPROVED EFFICIENCY OF VEHICLES

Authors

  • A. Polyakov Vinnytsia National Technical University
  • O. Horbay National University "Lvivska Polytechnica"
  • N. Myronyuk Military Scientific Directorate of the General Staff of Ukraine

Keywords:

vehicle, efficiency, maintenance, reliability

Abstract

The article analyzes the criteria for assessing the impact on the efficiency of vehicles improving the system of diagnosing.

Object of research – the indicators of efficiency of use of vehicles.

The aim of the work is to analyze criteria for assessing the impact on the efficiency of vehicles by improving the diagnostic system.

As criteria to determine the optimal periodicity of preventive technical effects are used: the probability of failure, the probability of the healthy state, the parameter of flow failures, mean time to failure etc. This is because they cover many technological and operational factors, and therefore adequately characterize the reliability Of the So. in the given conditions.

Thus it is established that the evaluation criteria of influence on transport efficiency is based on:

– parameter flow of failures, which is an indicator of reliability of restored objects, and is calculated according to the statistical data;

– probability of failure, which is an indicator of reliability.

Author Biographies

A. Polyakov, Vinnytsia National Technical University

Doctor of technical Sciences, Professor, Professor of cars and transport management department

O. Horbay, National University "Lvivska Polytechnica"

Doctor of technical Sciences, associate professor, head of automotive

N. Myronyuk, Military Scientific Directorate of the General Staff of Ukraine

researcher, scientific officer of the Command Staff of the Air Force of Ukraine

References

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Published

2017-01-23

How to Cite

[1]
A. Polyakov, O. Horbay, and N. Myronyuk, “BACKGROUND EVALUATION CRITERIA IMPACT OF DIAGNOSTICS FOR IMPROVED EFFICIENCY OF VEHICLES”, ВМТ, no. 2, pp. 77–83, Jan. 2017.

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