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A Signal Reconstruction Method of Shock Monitoring System

A shock monitoring and signal reconstruction technology, which is applied in shock testing, measuring devices, force/torque/power measuring instruments, etc., can solve problems such as high computational complexity, reduce system loss, and break through the limitation of sampling frequency.

Active Publication Date: 2021-10-01
HOHAI UNIV CHANGZHOU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the basic pursuit of convex optimization often has high computational complexity, while the matching pursuit follows the greedy principle and is sensitive to strong noise.

Method used

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  • A Signal Reconstruction Method of Shock Monitoring System
  • A Signal Reconstruction Method of Shock Monitoring System
  • A Signal Reconstruction Method of Shock Monitoring System

Examples

Experimental program
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Effect test

Embodiment 1

[0087] Such as Figure 8 Shown is a general diagram of the system structure in Embodiment 1. Embodiment 1 Select a T-30 carbon fiber composite laminate as the monitoring object, and arrange four piezoelectric sensors on its surface to form a square array. The composite laminate was a square with a diameter of 160 cm and a thickness of 25 cm. A PZT-5 piezoelectric sheet with a diameter of 0.8 cm is selected as the piezoelectric sensor. The piezoelectric sensors are distributed at the four corners of a square with a side length of 100 cm, and the distance between each piezoelectric sensor and the edge of the plate is 30 cm. In this embodiment, a small steel ball is vertically dropped in the monitoring area composed of four sensors to simulate the external impact on the laminated board. The charge amplifier model YE5853 is connected to four piezoelectric sheets to collect the charge signal accumulated by the piezoelectric sensor due to the positive piezoelectric effect of the e...

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Abstract

The invention proposes a shock monitoring system adopting a digital random demodulation and split recovery algorithm, including a shock monitoring front end, a sampling trigger module, a signal conversion module, a digital random sampler, a host computer and other modules. The impact monitoring front-end and sampling trigger module realize real-time monitoring of impact signals, record the required information and enter the next layer of structure for processing. The signal conversion module converts the received voltage analog signal based on the level change of its amplitude into a ternary signal and inputs it to the digital random sampler. The digital random sampler compresses and samples the ternary signal through digital random demodulation. The upper computer implements parallel processing algorithm recovery on the sampling signal, and inverts the original shock signal waveform at high speed and accurately.

Description

technical field [0001] The invention relates to an impact monitoring system adopting digital random demodulation and split recovery algorithm, which belongs to the field of structural health monitoring. Background technique [0002] Structural health monitoring is a means of continuously monitoring objects to increase human safety and reduce maintenance costs. In civil and industrial buildings, structural health monitoring systems provide information on changes in individual components or entire structures due to material aging, environmental effects or accidental events. In the aerospace industry, carbon fiber reinforced polymer composites are very common in the main structure of modern aircraft, but the disadvantage is that their complex laminate structure makes their damage mechanism more complicated than that of classical materials. Therefore, it is important to monitor different forms of composite materials in real time to ensure that component failure does not occur d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M7/08G01L5/00G01L1/16H03M7/30
CPCG01L1/16G01L5/0052G01M7/08H03M7/3062
Inventor 梁栋蔡宇航陈晓琦刘淼冯祯钰詹啸强
Owner HOHAI UNIV CHANGZHOU
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