Health management method and system for reactor internal component

Abstract

The invention relates to a health management method and system for a reactor internal component. The health management method for a reactor internal component includes the steps of: S1. monitoring a reactor out-of-pile neutron noise signal; S2. determining an ARMA power spectrum estimation model of the reactor out-of-pile neutron noise signal according to the characteristics of the reactor out-of-pile neutron noise signal; then based on the reactor out-of-pile neutron noise signal, and according to an AIC criterion or BIC criterion, determining the orders of the ARMA power spectrum estimationmodel, and then determining the parameters of the ARMA power spectrum estimation model; and S3. on the basis of the order and parameter determined ARMA power spectrum estimation model, acquiring the health condition of corresponding reactor internal component. The health management method and system for the reactor internal component provide by the invention are scientific in design and have strong practicability.

Description

technical field [0001] The invention relates to the field of nuclear power, in particular to a method and system for health management of reactor internal components, which monitor the vibration state of reactor internal components during operation by utilizing a novel spectrum analysis method and a trend analysis method. Background technique [0002] Vibration monitoring of nuclear power plant internal components is one of the safety work items for the healthy operation of nuclear power plant reactors. International standards (such as IEC 61502, ASME OM-S / G-2000 (Part 5)) and national nuclear industry standards (EJ / T 1188- 2005) stipulates that the vibration monitoring technology of reactor internals can detect the abnormal behavior of reactor internals and fuel assemblies through neutron noise technology, and provide data support for the vibration of reactor internals in operation. [0003] The international standard IEC 61502-1999 pointed out that the use of neutron noise...

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Problems solved by technology

[0006] 1) As a non-parametric spectrum estimation method, the average periodogram method has the inherent defects of low resolution and poor variance, and cannot meet the needs of high-resolution power spectrum estimation. Under the conditions of low resolution requirements and the same sampling rate , which requires a large number of sampling points and a large amount of data

[0007] 2) In my country, there are few studies on vibration trend prediction for the vibration monitoring of nuclear power plant internal components, and it has not been included in the scope of reactor internal component health management data monitoring

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