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An Improved Self-Calibration Algorithm and Device for Miniature Impedance Measurement

A technology of impedance measurement and self-calibration, applied in the direction of measuring devices, measuring electrical variables, material resistance, etc., can solve problems such as unguaranteed, unsatisfactory measurement results, discontinuous curves, etc., and achieve the effect of improving accuracy

Active Publication Date: 2022-07-08
武汉地震工程研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that the prior art only considers the range of the impedance amplitude and does not consider the influence of the impedance phase when selecting the range, and cannot guarantee that the measured data is consistent with the impedance amplitude and curve shape. Accurate data is the closest, and data record overflow is prone to occur, resulting in discontinuous measured curves and unsatisfactory measurement results

Method used

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  • An Improved Self-Calibration Algorithm and Device for Miniature Impedance Measurement
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  • An Improved Self-Calibration Algorithm and Device for Miniature Impedance Measurement

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Embodiment 1

[0068] Embodiment 1 of the present invention provides an improved micro-impedance measurement self-calibration algorithm, such as figure 1 shown, including:

[0069] In step 201, the measured data is corrected according to the impedance correction formula, and all the corrected data are arranged in ascending order according to the size of the feedback resistance value used.

[0070] In a certain implementation process, the object to be measured can be calibrated and measured with different feedback resistors based on AD5933, and the calibration data of the calibration stage and the measurement data of the measurement stage under multiple sets of feedback resistors can be obtained.

[0071] In step 202 , the change rate REA_S of the relative error of the amplitude relative to the resistance value and the change rate of the relative error of the curve shape with the resistance value RES_S of the two groups of corrected adjacent measurement data are calculated respectively. E.g ...

Embodiment 2

[0112] In the field of structural health monitoring, when using a miniature impedance measurement device for damage monitoring based on the impedance method, a piezoelectric ceramic transducer (Piezoelectric Transducer, abbreviated as: PZT) is generally connected to the miniature impedance measurement device, and then the pressure The electric ceramic transducer PZT is pasted on the object to be monitored, and then, based on a specific algorithm, the miniature impedance measurement device can automatically measure the impedance of the object to be monitored. The traditional algorithm to help the micro impedance measuring device to perform automatic measurement is a gain coefficient calibration method. The differences between the gain coefficient calibration method and the self-calibration algorithm of the present invention are compared in detail below.

[0113] First, use 25 feedback resistors to measure the impedance of an iron bar in the frequency range of [50kHz, 60kHz] by usi...

Embodiment 3

[0145] like Figure 16 As shown, it is a schematic diagram of the structure of the improved self-calibration device for micro-impedance measurement according to an embodiment of the present invention. The improved miniature impedance measurement self-calibration apparatus of this embodiment includes one or more processors 21 and a memory 22 . in, Figure 16 Take one processor 21 as an example.

[0146] The processor 21 and the memory 22 can be connected by a bus or in other ways, Figure 16 Take the connection through the bus as an example.

[0147] As a non-volatile computer-readable storage medium, the memory 22 can be used to store non-volatile software programs and non-volatile computer-executable programs, such as the improved self-calibration method for micro-impedance measurement in Embodiment 1. The processor 21 executes the improved micro-impedance measurement self-calibration method by running non-volatile software programs and instructions stored in the memory 2...

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Abstract

The invention relates to the technical field of structural health monitoring by piezoelectric impedance method, and provides an improved micro-impedance measurement self-calibration algorithm and device. The calibration resistor is selected according to the most stable point of the amplitude and shape deviation of the four groups of data after correction, so as to realize the self-calibration function of the miniature impedance measuring device. The data selected by the present invention is the measurement data with the best calibration effect under the condition that the precision of the impedance amplitude and the precision of the impedance phase are comprehensively considered.

Description

technical field [0001] The invention relates to the technical field of structural health monitoring by piezoelectric impedance method, in particular to an improved self-calibration algorithm and device for micro-impedance measurement. Background technique [0002] Piezoelectric impedance technology monitors the safety of the structure and the change of the damage state information by detecting the change of the impedance signal of the measured object. It has high sensitivity to the small damage in the early stage of the monitoring structure. The required sensor has the advantages of cheap price, light weight, small volume, high conversion efficiency, and good long-term stability. Therefore, piezoelectric impedance technology is considered to be one of the most promising structural non-destructive testing techniques in the field of structural health monitoring. [0003] Traditional impedance-based damage detection techniques mainly use precision impedance analyzers for imped...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R35/00G01N27/04G01N27/20
CPCG01R35/005G01N27/041G01N27/20
Inventor 梁亚斌谭志森冯谦
Owner 武汉地震工程研究院有限公司