RESEARCH ON INFLUENCE RELIABILITY A MEANS OF MEASUREMENTS PARAMETERS SYSTEM OF SERVICE METROLOGICAL

Abstract

The organization of production and the model of a metrological maintenance system for measuring equipment at industrial enterprises with complex technological processes are considered. The organization of the metrological maintenance system for measuring equipment can be considered as providing a system of a general system for managing the quality of products of the production process. The system of metrological maintenance aimed at identifying defects in finished products and testing the quality of the product during its manufacture. The system of metrological maintenance of measuring equipment is considered as a closed system, that is, all verification and repair work is performed inside the enterprise. The parameters of the system are the period of repetition of the verification work; time of the check; recovery time in repair; probability of erroneous diagnosis; probability of skipping a latent failure during a check; probability of return from repair with hidden failure. Reliability of measuring equipment can be divided into technical and metrological reliability. When carrying out the studies, the availability factor and the reliability factor were used to characterize the technical reliability of measuring equipment. Metrological reliability was determined by the normalized index (the ratio of the mean time to repair to the average operating time for a clear failure). When performing calculations, the values of the probability of diagnostic errors are determined when testing the means of measuring equipment and the probability of hidden failures after repair. It is determined that the normalized metrological reliability index will increase with the probability of erroneous fault diagnosis and with the reduction of availability and reliability. With the increase in the probability of hidden failures after repair, the availability and reliability coefficients increase and the normalized metrological reliability index decreases. The obtained results are recommended for practical use in enterprises where complex products are manufactured, in particular, in the production of aerospace equipment.