Author:
Zhang Hongfei,Ding Zhaowei,Zhou Liyue,Wang Degang
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Reference27 articles.
1. He, N., Qian, C., Li, R., & Zhang, M. (2021). An improved pipeline leak detection and localization method based on compressed sensing and event-triggered particle filter. Journal of the Franklin Institute, 358(15), 8085–8108.
2. Kazeminasab, S., & Banks, M. K. (2022). Towards long-distance inspection for in-pipe robots in water distribution systems with smart motion facilitated by particle filter and multi-phase motion controller. Intelligent Service Robotics, 15(3), 259–273.
3. Wang, C., Han, F., Zhang, Y., & Lu, J. (2020). An SAE-based resampling SVM ensemble learning paradigm for pipeline leakage detection. Neurocomputing, 403, 237–246.
4. He, L. L., Chen, Y. X., & He, N. (2021). Research on pipeline leak detection and location method based on particle filter. Control Engineering China, 28(04), 787–798.
5. Aitken, J. M., Evans, M. H., Worley, R., Edwards, S., Zhang, R., Dodd, T., Mihaylova, L., & Anderson, S. R. (2021). Simultaneous localization and mapping for inspection robots in water and sewer pipe networks: A review. IEEE Access, 9, 140173–140198.