Author:
Lu Hongfang,Xu Zhao-Dong,Iseley Tom,Peng Haoyan,Fu Lingdi
Publisher
Springer Nature Singapore
Reference144 articles.
1. Sun, L., Shang, Z., Xia, Y., Bhowmick, S., & Nagarajaiah, S. (2020). Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection. Journal of Structural Engineering, 5, 04020073.
2. Yang, J., Xiang, F., Li, R., Zhang, L., Yang, X., Jiang, S., Zhang, H., Wang, D., & Liu, X. (2022). Intelligent bridge management via big data knowledge engineering. Automation in Construction, 135, 104118.
3. Roshandeh, A. M., Poormirzaee, R., & Ansari, F. S. (2014). Systematic data management for real-time bridge health monitoring using layered big data and cloud computing. International Journal of Innovation and Scientific Research, 2(1), 29–39.
4. Wang, T., Bhuiyan, M. Z. A., Wang, G., Rahman, M. A., Wu, J., & Cao, J. (2018). Big data reduction for a smart city’s critical infrastructural health monitoring. IEEE Communications Magazine, 56(3), 128–133.
5. Li, R., Mo, T., Yang, J., Jiang, S., Li, T., & Liu, Y. (2020). Ontologies-based domain knowledge modeling and heterogeneous sensor data integration for bridge health monitoring systems. IEEE Transactions on Industrial Informatics, 17(1), 321–332.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Digitalization and Industry 4.0 Technologies in Asset Integrity: A Comparative Analysis in the Oil and Gas Sector;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02