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 ti

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

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Example Embodiment

[0103] Example 1

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

[0105] A fault time prediction method for vibration monitoring of reactor shaft pumps,

[0106] A fault time prediction method for vibration monitoring of the reactor shaft pump, including the following steps:

[0107] Step 1: Get the initial time t Init To the current time t now Under conditions, monitoring data of the reactor shaft pump, monitoring data includes: vibration acceleration a (t), vibration speed V (t), vibration displacement S (T), T now ≥ T ≥ T Init ;

[0108] Step 2: Determine the primary acceleration weight coefficient Q according to the sensor accuracy type of the vibration acceleration sensor, the vibration speed sensor, the vibration displacement sensor, field conditions, and environment correction factors. a , First-level speed weight coefficient Q v , First-level displacement weight correction d ;

[0109] Step 3: Plus the vibration acceleration A (T), the vibration speed V (t), the vibration disp...

Example Embodiment

[0122] Example 2

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

[0124] Preferred further protocols are predicted at time to determine the timing of the final predictive fault includes: can be directly adopted; or multiple predictive curves can be used in order to improve the accuracy of multi-high-order nonlinear function fitting processing. When the calculation of the calculation accuracy is determined after obtaining a plurality of predicted moments; there is a plurality of effective curve segments in the range of one measurement time, and therefore, the fusion of the time axis direction can be performed, and the current is improved. The prediction accuracy, its general process is a time at which the final predictive fault corresponding to a plurality of effective curve segments respectively, and then fuses the final prediction failure of the above-mentioned final prediction fault. time.

[0125] Specifically, the above-mentioned predicted time determines the timing of the final p...

Example Embodiment

[0174] Example 3

[0175] On the basis of the above embodiments 1 and 2,

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

[0177] The fitting curve is performed to obtain a minimum value and a maximum value, and a plurality of curves are obtained by tagging the fitting curve using a minimum value and a maximum value;

[0178] From multiple curve sections, the rising edge curve segment is screened, and the rising edge curve segment is a valid curve segment for predicting the fault time;

[0179] Wherein, the rising edge segment is: at the time of the horizontal coordinate, in the direction of the horizontal coordinate, first appear, the very large curve segment will appear.

[0180] Specifically, the specific manner of the pretreatment of the monitoring data is: the specific process of step 3 is:

[0181] First, the vibration acceleration A (T) directly obtains A '(T), the vibration speed V (t) is perf...

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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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