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15 January 2025 Research on fast identification method of tunnel cable state based on sparse online hybrid Gaussian multi-classification algorithm
Tian Guo, Yang Zhao, Zongwu Huang, Jirong Fu
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Proceedings Volume 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024); 135131B (2025) https://doi.org/10.1117/12.3045508
Event: The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 2024, Wuhan, China
Abstract
In this paper, a fast tunnel cable state identification method based on a sparse online hybrid Gaussian multi-classification algorithm is proposed for real-time monitoring of the state of tunnel cables and their changes. The method first reduces the size of the training set using the data subset approximation method, then uses the hybrid Gaussian multi-classification algorithm to train the tunnel cable state fast identification model, and finally performs the parameter update online when necessary. The proposed method takes less time in the model training phase, and the trained tunnel cable state fast identification model can maintain good recognition accuracy under complex operating conditions and can be updated quickly.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Tian Guo, Yang Zhao, Zongwu Huang, and Jirong Fu "Research on fast identification method of tunnel cable state based on sparse online hybrid Gaussian multi-classification algorithm", Proc. SPIE 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131B (15 January 2025); https://doi.org/10.1117/12.3045508
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KEYWORDS
Data modeling
Statistical modeling
Diagnostics
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