Developing Software Application for Pipeline Survival Curves
Author:
Affiliation:
1. Master’s Student, Computer Science, Virginia Tech, Blacksburg, VA.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784484302.007
Reference31 articles.
1. Chen, T. (2019). Advancing Quantitative Risk Analysis for Critical Water Infrastructure.
2. Chen T. Y.-J. Beekman J. A. and Guikema S. D. (2017). “Drinking water distribution systems asset management: Statistical modelling of pipe breaks.” Pipelines 2017 173–186.
3. Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks
4. Prediction of water main failures with the spatial clustering of breaks
5. Watermain's failure index modeling via Monte Carlo simulation and fuzzy inference system
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1. Predicting Water Pipe Failures Using Deep Learning Algorithms;Journal of Infrastructure Systems;2023-09
2. Dynamic Probabilistic Risk Assessment of Overpressure Burst of Pipeline with Pressure-Protection Systems in Case of Blockage;Journal of Performance of Constructed Facilities;2023-08
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