A method for monitoring the health of a carbon fiber composite structure
By collecting and analyzing the electrical conductivity data of carbon fiber composite materials in real time, and combining feature extraction and time series models, the density of sensing channels is adaptively adjusted, which solves the problem of real-time non-destructive damage detection and prediction of carbon fiber equipment, and improves the accuracy and intelligence level of monitoring.
CN122242243APending Publication Date: 2026-06-19DONGGUAN SUPER SPORTS EQUIP CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- DONGGUAN SUPER SPORTS EQUIP CO LTD
- Filing Date
- 2026-03-23
- Publication Date
- 2026-06-19
Smart Images
Figure CN122242243A_ABST
Abstract
This invention relates to a health monitoring method for carbon fiber composite structures, comprising: acquiring electrical conductivity data of the composite structure under stress; generating an initial resistance distribution map and identifying abnormal regions based on the electrical conductivity data to obtain a preliminary signal set containing potential damage locations; extracting spatial feature vectors from the preliminary signal set; processing the spatial feature vectors using a feature extraction model to filter out noise interference to obtain an enhanced signal sequence; processing monitoring data at multiple time points using a time-series fusion model to generate a damage evolution trend map reflecting the damage propagation trend; performing hotspot region analysis based on the spatial distribution of signal peak points in the damage evolution trend map; and adjusting the distribution density of sensing channels to generate optimized monitoring system configuration parameters if the spatial dispersion of the peak points exceeds a preset range.
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