DIAGNOSTICS OF THE STATE AND PREDICTION OF THE RESIDUAL RESOURCE OF PARTS IN EXTREME OPERATING CONDITIONS

Viktor PEREDERYI; Sergey NUZHNIY; Yuriy LEBEDENKO

doi:10.36910/automash.v2i23.1521

Viktor PEREDERYI Doctor of Technical Sciences, Professor of the Department of Computer Technologies and Information Security, Admiral Makarov National University of Shipbuilding 9 Heroiv Ukrainy ave., Mykolayiv, Ukraine https://orcid.org/0000-0002-9241-3034
Sergey NUZHNIY Candidate of Technical Sciences, Associate Professor, Department of Computer Technologies and Information Security, Admiral Makarov National University of Shipbuilding 9 Heroiv Ukrainy ave., Mykolayiv, Ukraine https://orcid.org/0000-0002-7706-0453
Yuriy LEBEDENKO Candidate of Technical Sciences, Associate Professor, Department of Information and Computer Technologies, Kyiv National University of Technologies and Design, str. Mala Shiyanovska 2, Kyiv, Ukraine https://orcid.org/0000-0002-1352-9240

DOI: https://doi.org/10.36910/automash.v2i23.1521

Abstract

A methodology has been developed to assess the performance and determine the residual resources of the equipment during its operation. Based on the analysis of the physical essence and the synthesis of the main principles of building models for determining the residual resource of equipment operating in complex, including extreme operating conditions, the advantages, disadvantages and prospects of using criteria based on mathematical and probabilistic methods are determined. The classification and systematization of the main criteria for evaluating the performance and residual resources of the equipment has been carried out. Their formalized description of changes in the technical condition of objects during their operation is given. It is noted that the criterion of an ideal observer should be used when the cost of assessing the condition of materials at the early and empty stages of its degradation is equal; the criterion of the minimum average risk should be used when the costs of incorrect assessment of the condition of the material are high. The maximum likelihood criterion has the advantage of not requiring knowledge of the a priori probability of costs. The criterion of root mean square error estimations involves assigning the parameters of the customary laws of the distribution of estimation characteristics. The criterion of achieving a given level of reliability is recommended to be used when the consequences of equipment shutdowns are more significant than preventive measures. The minimum posterior probability criterion is used in cases where the loss matrix is known. Practical recommendations are given for their use in systems of technical diagnostics and non-destructive testing when assessing the condition of equipment operating in difficult operating conditions. An example of the methodology implementation is given.

Keywords: residual resource, performance, uncertainty, external environment, evaluation criteria, diagnostics, forecasting, operation, transport.