Bidirectional mapping modeling of pipeline vertical deformation and axial strain based on multi-source monitoring data and machine learning
Southeast University · University of Technology Malaysia · +1 more institution
Abstract
Axial strain and vertical deformation are critical indicators of pipeline structural integrity. Monitoring these parameters and constructing a bidirectional mapping model linking them enhance data completeness, system redundancy, and overall reliability. Thus, this study deployed embedded static leveling instruments and long-gauge fiber Bragg grating sensing systems in a pipeline project in Tangshan, Hebei Province. A total of 17,568 data sets were collected throughout 2024 to establish a comprehensive database. A GPKOA-XGBoost model was developed by integrating the Kepler optimization algorithm (KOA), good point set (GPS) strategy, and extreme gradient boosting (XGBoost) to achieve bidirectional mapping…
Citation impact
- FWCI
- 110.34
- Percentile
- 100%
- References
- 70
Authors
10Topics & keywords
- Pipeline (software)
- Initialization
- Hyperparameter
- Pipeline transport
- Population
- Data point
- Data modeling
- Data set