Anticipatory detection and characterization of urban stormwater system flood risk: a model-based fault diagnosis approach
Description
File Descriptionslab_system.inp - EPA SWMM model input file.lab_system_config.yml - Configuration file used by UrbanSurge to set up the EPA SWMM model.phy_healthy_impulse_database.csv - Simulated fault-free stormwater system depth and velocity measurements using survey impulse.phy_impulse_2.5yr_fault_database.csv - Simulated stormwater system depth and velocity measurements using design storm impulse under fault conditions.phy_impuslse_fault_database.csv - Simulated stormwater system depth and velocity measurements using survey impulse under fault conditions.pipeline_diagnose.ipynb - Python Jupyter Notebook used to perform fault detection and diagnosis and produce results figures found in the paper.
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Publication Details
Subfield
Control and Systems Engineering
Field
Engineering
Domain
Physical Sciences
Confidence Score
48%
Source
Scholar Data Model