Anticipatory detection and characterization of urban stormwater system flood risk: a model-based fault diagnosis approach

File Descriptions lab_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. single_fault_diagnose.ipynb - Diagnose a single fault from a single flow measurement. Used to test the accuracy of compound fault diagnosis. create_fault_database.ipynb - Functions to simulate faults in the EPA SWMM model. example_system.inp - SWMM model used to simulate compound faults. compound_fault_<6,4,2,2>_<8,5,10,4>.csv - Simulated flow measurements for the compound fault scenarios.