THE QUALITY OF EQUIPMENT plays an important role in ensuring its reliability. The production of poor-quality goods at manufacturing facilities can be avoided when the manufacturer observes the requirements of state standards, construction regulations and rules, technical specifications. etc. However, checking that the manufacturer is complying with these requirements is rather complicated.
The authors of this article have analysed approaches to creating a mathematical tool capable of making a quantitative and qualitative prediction of equipment failures, evaluating current operational readiness, and determining the optimum degree of load to ensure principles of maximum reliability and conservability.
Approaches to quantitative predicting equipment failures, developed and described using the research results, could be introduced into the current system of conformity assessment, given that there is a sufficient amount of statistical data regarding equipment functioning. These data have been collected by Transneft PJSC, over the last decade.
How to Cite
conformity assessment, reliability, product quality, equipment failure prediction, mathematical tool, oil pump
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