Data compression reconstruction and structural damage identification method and equipment based on piezoelectric admittance

Abstract

The invention belongs to the field of structural health monitoring, and relates to a data compression reconstruction and structural damage identification method and equipment based on piezoelectric admittance. This method collects the original conductance data, and performs maximum and minimum normalization processing on it; uses compressed sensing theory to compress the processed sampling data, and implements linear transformation on the data through a random matrix, transforming the problem of restoring the original signal into a residual The difference iteration problem; the adaptive orthogonal matching pursuit algorithm based on the optimal sparsity parameter analysis is used to reconstruct the conductance data; the root mean square deviation and correlation coefficient obtained from the reconstructed data are used to diagnose the damage of the structure. This method can effectively combine the damage identification based on piezoelectric admittance technology with the data compression algorithm based on orthogonal matching pursuit algorithm, and can effectively identify different types of damage in the structure, and it is still effective in the case of sensor damage.

Description

technical field [0001] The invention belongs to the field of structural health monitoring, and relates to a piezoelectric admittance-based data compression reconstruction and structural damage identification method and equipment, more specifically, relates to a combination of data compression and reconstruction theory and piezoelectric admittance technology damage identification method. Background technique [0002] Since civil engineering structures are operated in a complex and changeable environment, they are affected by coupling factors such as material degradation, environmental corrosion, and external force disturbances (such as wind and earthquakes), resulting in damage to structures or components. Most of the damages belong to a gradual process, and the small damages caused during this period are difficult to be identified by the naked eye. Therefore, the small damages in the early stage of the structure gradually accumulate and cause large hidden dangers, which is s...

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Problems solved by technology

[0003] However, its disadvantages are (not limited to): the amount of data sampled during the monitoring process is extremely large, and the storage load of the data acquisition system is too heavy, which is not conducive to the real-time data collection, processing and analysis of test / engineering personnel; and the sampling process is vulnerable to environmental , The strong influence of human interference factors, resulting in a significant reduction in the recognition effect

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