Which kind of machine learning algorithms we can apply to predict FBG measurement in SHM systems ?
Good morning,
Maybe the links in this similar discussion can help :
https://www.researchgate.net/post/Application-of-machine-learning-and-data-science-in-Structural-Health-Monitoring-SHM
Best regards.
The authors should try the regression-based approach to implement the scenario. I think the following articles give more insights on this.
1. Zhang, X., Liang, D., Zeng, J. and Asundi, A., 2012. Genetic algorithm-support vector regression for high-reliability SHM system based on FBG sensor network. Optics and Lasers in Engineering, 50(2), pp.148-153.
2. Zhang, X., Wang, P., Liang, D., Fan, C., and Li, C., 2015. A soft self-repairing for FBG sensor network in SHM system based on PSO–SVR model reconstruction. Optics Communications, 343, pp.38-46.
Chapter Development of Embedded FBG Sensor Networks for SHM Systems
Article SHM system based on impedance measurements
Good luck
We have worked with several algorithms, I don't know if they can really help you, I'll share the papers with you:
Conference Paper Novel solutions for diseases in bananas: An approach with Ma...
Article Correlation of banana productivity levels and soil morpholog...
Thesis Determination of the potential influence of soil in the diff...
- Badges
- Science topic
- Similar topics
- Filing