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A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

Shuai Chen1, Yinwei Ma2, Zhongshu Wang2, Zongmei Xu3, Song Zhang1, Jianle Li1, Hao Xu1, Zhanjun Wu1,*

1 State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, 116024, China
2 Beijing Aerospace Technology Institution, Beijing, 116024, China
3 College of Water-Conservancy and Civil Engineering, Shandong Agricultural University, Taian, 271000, China

* Corresponding Author: Zhanjun Wu. Email: email

Structural Durability & Health Monitoring 2024, 18(2), 125-141. https://doi.org/10.32604/sdhm.2024.042594

Abstract

The safety and integrity requirements of aerospace composite structures necessitate real-time health monitoring throughout their service life. To this end, distributed optical fiber sensors utilizing back Rayleigh scattering have been extensively deployed in structural health monitoring due to their advantages, such as lightweight and ease of embedding. However, identifying the precise location of damage from the optical fiber signals remains a critical challenge. In this paper, a novel approach which namely Modified Sliding Window Principal Component Analysis (MSWPCA) was proposed to facilitate automatic damage identification and localization via distributed optical fiber sensors. The proposed method is able to extract signal characteristics interfered by measurement noise to improve the accuracy of damage detection. Specifically, we applied the MSWPCA method to monitor and analyze the debonding propagation process in honeycomb sandwich panel structures. Our findings demonstrate that the training model exhibits high precision in detecting the location and size of honeycomb debonding, thereby facilitating reliable and efficient online assessment of the structural health state.

Graphical Abstract

A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals

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APA Style
Chen, S., Ma, Y., Wang, Z., Xu, Z., Zhang, S. et al. (2024). A modified principal component analysis method for honeycomb sandwich panel debonding recognition based on distributed optical fiber sensing signals. Structural Durability & Health Monitoring, 18(2), 125-141. https://doi.org/10.32604/sdhm.2024.042594
Vancouver Style
Chen S, Ma Y, Wang Z, Xu Z, Zhang S, Li J, et al. A modified principal component analysis method for honeycomb sandwich panel debonding recognition based on distributed optical fiber sensing signals. Structural Durability Health Monit . 2024;18(2):125-141 https://doi.org/10.32604/sdhm.2024.042594
IEEE Style
S. Chen et al., "A Modified Principal Component Analysis Method for Honeycomb Sandwich Panel Debonding Recognition Based on Distributed Optical Fiber Sensing Signals," Structural Durability Health Monit. , vol. 18, no. 2, pp. 125-141. 2024. https://doi.org/10.32604/sdhm.2024.042594



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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