Izvestia Vysshikh Uchebnykh Zawedeniy. Yadernaya Energetika

The peer-reviewed scientific and technology journal. ISSN: 0204-3327

Prediction of reliability of flow sensors of SHADR-32m heat carrier

3/22/2017 2017 - #01 Global safety, reliability and diagnostics of nuclear power installations

Pereguda A.I. Belozerov V.I.

DOI: https://doi.org/10.26583/npe.2017.1.05

UDC: 62-192:519.6

The complexity of technical systems, such as nuclear power plants, necessitates reliability assessments especially of the equipment that may affect the reactor operation safety. These assessments are also required for commercial reasons. In this context, of great importance are the tasks associated with investigation of regularities of the equipment and process parameter variations as well as development of methods and algorithms to obtain quantitative reliability indicators for the gradual (parametric) failures. The article considers these tasks with respect to the SHADR-32M flow rate sensors of RBMK-1000 reactor. Analysis was made of statistical data on periodic diagnostic measurements of the two defining performance parameters of SHADR-32M flow meters: the minimum value of the negative half-wave amplitude and standard deviation for the rotation period of the flow meter ball, which made it possible to develop a mathematical model of the sensor parametrical reliability. This flowmeter mathematical reliability model is a random process which is a superposition of a simple recovery process and a stochastic process with independent increments. A study of the mathematical model of the flow sensor operation reliability allowed us to obtain a closed form of the ratio of the flowmeter mean time to the crossing of a given border by each of the governing parameters and the probability of the flowmeter failure in the asymptotic setting without any assumptions about the laws of random variable distributions. The obtained results can be easily generalized for the case when the vector dimension of determining parameters is more than two without a significant complication of results. The use of the research results is illustrated by calculating quantitative parametric reliability indicators of the flow sensors.

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parametric reliability security system random values failure time stochastic process mean time distribution function