Empirical mode decomposition (EMD)-based loose part quality estimation method

A quality estimation and loosening technology, which is applied in the field of nuclear engineering, can solve problems such as complex algorithms, long calculation time, and poor practical application value, and achieve the effects of improving quality estimation accuracy, fast calculation speed, and good practicability

Pending Publication Date: 2021-06-11
BEIJING UNIV OF CHEM TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main problems are: the algorithm is complex, the calculation time is long, and the actual application value is poor

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Empirical mode decomposition (EMD)-based loose part quality estimation method
  • Empirical mode decomposition (EMD)-based loose part quality estimation method
  • Empirical mode decomposition (EMD)-based loose part quality estimation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with figures and embodiments.

[0047] Take the loose parts simulated crash test as an example. A standard elliptical head is used to simulate the bottom of the reactor pressure vessel. The diameter of the head is 1800mm, the thickness is 10mm, and the material is Q345R. Three rigid supports are welded on the lower surface of the head for support.

[0048] Such as figure 1As shown, an EMD-based method for estimating the mass of loose parts includes the following three steps:

[0049] Step 1: Shock signal acquisition and EMD processing

[0050] Firstly, by arranging four acceleration sensors at the bottom of the test head, the impact signals of loose parts of different masses are collected in real time for the establishment of the subsequent quality estimation function model, and the collected impact signals are recorded as A(t);

[0051] Based on the Hertz theory, taking the impact of a ball on a ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an Empirical mode decomposition (EMD)-based loose part quality estimation method. The method comprises the following steps: 1) impact signal acquisition and EMD processing; 2) extracting quality estimation features of the main IMF components of the signals; and 3) establishing a quality estimation function model and estimating quality. The used quality estimation characteristics well describe the change rule of the signal along with the quality, the influence of the falling height on the quality estimation is reduced, the quality estimation precision is high, calculation is convenient, and the invention has good engineering practical value.

Description

technical field [0001] The invention relates to the technical field of nuclear engineering, in particular to an EMD-based method for estimating the quality of loose parts. Background technique [0002] Loose parts monitoring system (Loose Parts Monitoring System, LPMS) is one of the systems to ensure the safe and stable operation of nuclear reactors. The quality estimation of loose parts is an important part of LPMS. Judging the degree of hazard and providing reasonable suggestions for subsequent reactor maintenance. The existing methods for estimating the mass of loose parts are as follows: [0003] (1) Mass estimation method based on the frequency ratio of collision signals. This method uses the area ratio of the high and low frequency bands of the signal spectrum as a feature to identify different quality impact signals. The frequency distribution is easily affected by various factors such as propagation distance and drop height. This feature cannot well describe the la...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/17G01N3/303
CPCG06F30/20G06F30/17G01N3/303
Inventor 马波张柳谭逸盛林
Owner BEIJING UNIV OF CHEM TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products