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Improved PCA damage detection method under spatiotemporal window

A space-time window and damage detection technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of reducing the accuracy of damage measurement and delaying the time to detect damage, achieving high accuracy of damage measurement and simple and efficient methods , the effect of overcoming noise interference

Active Publication Date: 2018-05-08
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, this method uses the PCA method to analyze the data of all measuring points uniformly, ignoring the fact that the response of measuring points far away from the damaged area is not sensitive to damage.
Therefore, the time to detect damage is delayed in the data analysis process and the accuracy of damage measurement is reduced

Method used

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  • Improved PCA damage detection method under spatiotemporal window
  • Improved PCA damage detection method under spatiotemporal window
  • Improved PCA damage detection method under spatiotemporal window

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with specific examples.

[0051] like figure 1 As shown, the improved PCA damage detection method under the space-time window provided by this example includes the following steps:

[0052] 1) Determine the spatial window used in PCA analysis

[0053] 1.1) Determine the damage-affected area of ​​the structure. The model in this example is a simply supported beam model. The size of the model is: 4m*0.2m*0.4m. 50 grids are divided in the length direction, and 10 grids are divided in the height direction. The unit size is 0.04m*0.04m. The unit size is: 0.04m*0.04m. Models and sensor locations such as figure 2 shown. In the temperature load, the bottom plate Tb obeys T b =20+10 sin(πn / 730), n=1,2,...,5840. The temperature is collected at 6:00, 12:00, 18:00, and 24:00 in one day, and the total number of samples is 5840, corresponding to a sampling period of four years. Top plate temperature T t...

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Abstract

The invention discloses an improved PCA damage detection method under a spatiotemporal window. Firstly, a numerical simulation or experiment means is used to determine a spatial influence range corresponding to damages at different positions under multiple working conditions with damages at different spatial positions, a structural space area sensitive to the damages is further determined, and that is, a spatial window is determined; then, according to a PCA principle, a temporal window related to an external load cycle is determined; and finally, after the temporal window and the spatial window are determined, a PCA method is used for all measurement point data in the spatial window, a feature vector is used as a monitoring index, a damage can be monitored in real time, and the damage positioning is realized. The method carries out PCA analysis on a structural response in limited temporal and spatial windows, the damage recognition precision and the sensitivity are thus improved, andlong-term structure monitoring data can be used to carry out damage recognition on a long-span solid bridge or other structures.

Description

technical field [0001] The invention relates to the technical field of structural damage identification, in particular to an improved PCA damage detection method under a time-space window. Background technique [0002] The goal of structural health monitoring is to correctly assess the safety status of the structure by obtaining the response information of the structure in real time. Under the action of long-term environmental factors, traffic loads, and natural disasters, the structure may be damaged to varying degrees, which will cause changes in the mechanical response of the structure, such as natural frequency, strain, and displacement. However, when the damage degree is small or the damage location is far away from the sensor, the response information obtained directly through the monitoring system sometimes does not change significantly, so the original data cannot be directly used to correctly diagnose the health status of the structure. In this case, it is necessar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/50
CPCG06F30/20G06F18/22G06F18/2135
Inventor 张舸刘泽佳周立成汤立群刘逸平蒋震宇董守斌陈溢涛蒋雍建程楠涂成枫朱亚伟
Owner SOUTH CHINA UNIV OF TECH
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