Fault moment prediction method for vibration monitoring of reactor shaft seal pump

A technology of fault time and vibration monitoring, applied in nuclear reactor monitoring, reactor, pump control, etc., can solve problems such as unpredictable measurement problems

Active Publication Date: 2021-07-06
NUCLEAR POWER INSTITUTE OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for predicting the failure time of the vibration monitoring of the reactor shaft seal pump, which adds external factors to the monitoring parameters and the associated factors of the sensor to form a weight, thereby correcting the input monitoring parameters and setting a reasonable value at the same time Fusion processing, and then predictive processing after screening the fused data, and finally obtain an effective prediction of the failure time, to achieve the purpose of predicting the failure in advance, and solve the problem that the existing technology cannot effectively predict the working conditions of the nuclear reactor shaft seal pump According to the life and failure prediction time, the corresponding maintenance time and plan can be formulated in advance to reduce the loss caused by emergency shutdown and improve the reliability of shaft seal pump operation It is easy to maintain the long-term stable and safe operation of nuclear reactors

Method used

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  • Fault moment prediction method for vibration monitoring of reactor shaft seal pump
  • Fault moment prediction method for vibration monitoring of reactor shaft seal pump
  • Fault moment prediction method for vibration monitoring of reactor shaft seal pump

Examples

Experimental program
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Effect test

Embodiment 1

[0104] Such as figure 1 , figure 2 Shown:

[0105] A failure time prediction method for reactor shaft seal pump vibration monitoring,

[0106] A method for predicting failure time of reactor shaft seal pump vibration monitoring, comprising the following steps:

[0107] Step 1: Get the initial time T Init to the current time T now Under conditions, the monitoring data of the shaft seal pump of the reactor, the monitoring data include: vibration acceleration a(t), vibration velocity v(t), vibration displacement s(t), T now ≥t≥T Init ;

[0108] Step 2: Determine the first-level acceleration weight coefficient Q according to the sensor accuracy type of the vibration acceleration sensor, vibration speed sensor, and vibration displacement sensor, on-site working conditions, and environmental correction factors a , the first-level speed weight coefficient Q v , first-order displacement weight coefficient Q d ;;

[0109] Step 3: Put the vibration acceleration a(t), vibratio...

Embodiment 2

[0123] Such as figure 1 , figure 2 Shown:

[0124] A preferred further scheme is as follows: the method of determining the final predicted fault time at the predicted time includes: it can be directly adopted; it is also possible to perform multiple high-order nonlinear function fitting processes to obtain multiple predicted curves in order to improve the accuracy and obtain multiple intersection points, The time of final prediction of failure is determined after calculation of arithmetic accuracy improvement at multiple prediction times; among them, since there may be multiple effective curve segments within a measurement time range, it is also possible to improve the current The general process is to obtain the final predicted fault time corresponding to multiple effective curve segments according to the above method for a single effective curve segment, and then fuse the above-mentioned final predicted fault time to obtain the final predicted fault time time.

[0125] S...

Embodiment 3

[0175] On the basis of above-mentioned embodiment 1 and 2,

[0176] Specifically, the method of determining the effective curve segment is as follows: the specific process of step 5 is as follows:

[0177] Deriving the fitted curve to obtain minimum and maximum values, marking the fitted curve with minimum and maximum values ​​to obtain multiple curve segments;

[0178] From the multiple curve segments, the rising edge curve segment is screened out, and the rising edge curve segment is an effective curve segment for predicting the fault moment;

[0179] Among them, the rising edge curve segment is: taking the time as the abscissa, along the direction of the abscissa, the curve segment where the minimum value first appears and then the maximum value appears.

[0180] Specifically, the specific way of preprocessing the monitoring data is: the specific process of step 3 is:

[0181] Firstly, the vibration acceleration a(t) is directly obtained a'(t), the vibration velocity v(t)...

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Abstract

The invention discloses a fault moment prediction method for vibration monitoring of a reactor shaft seal pump. The fault moment prediction method for vibration monitoring of the reactor shaft seal pump is characterized by comprising the following steps of: 1, obtaining monitoring data of the reactor shaft seal pump, wherein the monitoring data are vibration acceleration a (t), vibration velocity v (t) and vibration displacement s (t), and t is less than or equal to Tnow and greater than or equal to TInit; 2, determining a first-level acceleration weight coefficient Qa, a first-level speed weight coefficient Qv and a first-level displacement weight coefficient Qd; 3, carrying out fusion processing to obtain fused vibration A (t); 4, carrying out mathematical fitting processing on the vibration intensity V (t) to obtain a fitting curve; 5, screening out an effective curve segment used for predicting a fault moment from the fitting curve; 6, performing high-order nonlinear function fitting processing on the effective curve segment to obtain a corresponding prediction curve; and 7, calculating an intersection point of the prediction curve and a vibration intensity threshold line, and marking a moment corresponding to the intersection point as a prediction fault moment.

Description

technical field [0001] The invention relates to the field of nuclear reactor equipment monitoring, in particular to a fault time prediction method for monitoring the vibration of a shaft seal pump of a reactor. Background technique [0002] The main pump in the nuclear reactor is the power source for the forced circulation of the primary coolant, and its operating status is highly related to the performance and safety of the nuclear reactor. The main pump is divided into canned pumps and shaft-sealed pumps according to the type. Most of the reactor types represented by AP1000 use canned motor-type main pumps, and other reactor types represented by Hualong No. 1 generally use shaft-sealed pumps. form, so the research on the shaft seal pump is more meaningful and practical. [0003] At present, the research on the online vibration monitoring system of shaft-sealed pumps is still in its infancy. Generally, physical quantities such as vibration acceleration, vibration velocity,...

Claims

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Application Information

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IPC IPC(8): F04D15/00G01D21/02G21C17/00
CPCF04D15/0088G01D21/02G21C17/00Y02E30/30
Inventor 蒋兆翔何攀刘才学王瑶陈祖洋尹龙
Owner NUCLEAR POWER INSTITUTE OF CHINA
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