A Method of Obtaining Equipment Reliability Data

Abstract

The invention discloses a method for obtaining equipment reliability data, the method comprising: S1: acquiring equipment failure data; S2: judging whether the quantity of equipment failure data obtained is greater than a preset reference value, and if so, adopting classical estimation The algorithm determines the optimal distribution function of the equipment life, otherwise, the Bayesian estimation algorithm is used to determine the optimal distribution function of the equipment life; S3: Calculate the reliability data of the equipment operation according to the optimal distribution function. According to the equipment failure data, the present invention selects a suitable distribution model to accurately reflect the life characteristics of the current equipment, which can not only improve the accuracy of reliability data, but also ensure the accuracy of calculation results of online risk monitoring. When fitting the life distribution of different models, parallel computing is used, which can solve the distributed model at any time and in a timely manner; the time-consuming calculation and solution of the distributed model under multiple computing resources is less than that under a single computing resource.

Description

technical field [0001] The invention relates to the technical field of equipment automation management, in particular to a method for obtaining equipment reliability data. Background technique [0002] The prerequisite for the development of nuclear energy applications is nuclear safety. Nuclear safety is the sum of measures taken to protect workers, the public and the environment from radiation damage during the design, construction, operation and decommissioning of nuclear facilities. Therefore, factors affecting nuclear safety can be divided into two aspects: the quality of nuclear power plant design and construction, and the level of operation and management. The impact of nuclear power plant design and construction quality on nuclear safety has been determined after the power plant is completed, so by improving the level of nuclear power plant operation and management, the safe and stable operation of nuclear power plants can be effectively ensured. [0003] The onlin...

AI Technical Summary

Problems solved by technology

Common equipment life distribution models include: lognormal distribution, Gamma distribution, two-parameter Weibull distribution and three-parameter Weibull distribution, etc. Each distribution model has its own advantages and disadvantages, so the quality of the reliability data obtained by calculation is not high enough

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