Improved Processing and Analysis of Test and Operating Data from Rotating Machines [2024 INV#DOI-62]
This research strives to aid in the development of condition-based maintenance (CBM) and predictive maintenance (PdM) tools for Hydroelectric Facilities (Generators and Pumps) by…
Machine Learning for Chemical Savings at Reverse Osmosis Plants [2024 INV#DOI-73 (NEW)]
Water treatment processes are often complex and maintenance activities present tradeoffs between cost and system performance.
Machine Learning Applied to Geotechnical Engineering: Statistical Methods Applied to Seismic Analysis [2024 INV#DOI-71 (NEW)]
The process for determining the seismic risk for dams is time intensive.
Machine Learning Refines Quagga Habitat Suitability [2024 INV#DOI-74 (NEW)]
Invasive mussels pose a number of challenges for the continuous operation of water infrastructure.
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58]
Reclamation utilizes streamflow forecasts to inform reservoir operations.
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69]
Reclamation utilizes water supply forecasts (cumulative expected inflow over multiple months) to inform reservoir operations and water allocation decisions.
Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring
Monitoring infrastructure health, particularly crack mapping in large concrete structures is highly time consuming and can be subject to the individual performing the work.