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Reduced Cost Hydropower Maintenance

Project ID: 5021
Principal Investigator: Jim DeHaan
Research Topic: Improved Power Generation
Priority Area Assignments: 2011 (Climate Adaptation), 2012 (Climate Adaptation)
Funded Fiscal Years: 2011, 2012 and 2013
Keywords: None

Research Question

This research project agreement contains intellectual property and therefore this information cannot be displayed here. Intellectual property is information that could be used to create something patentable or licensable if the information is viewed by someone other than the researchers involved with this project. If you wish to obtain more information about this project you must contact the Principal Investigator.

Need and Benefit

This research project agreement contains intellectual property and therefore this information cannot be displayed here. Intellectual property is information that could be used to create something patentable or licensable if the information is viewed by someone other than the researchers involved with this project. If you wish to obtain more information about this project you must contact the Principal Investigator.

Contributing Partners

Eastern Colorado Area Office, Great Plains Region
Grand Coulee Area Office, Pacific Northwest Region
Snake River Area Office, Pacific Northwest Region

Research Products

Bureau of Reclamation Review

The following documents were reviewed by experts in fields relating to this project's study and findings. The results were determined to be achieved using valid means.

Machine Condition/Vibration Monitoring (final, PDF, 2.7MB)
By Jim DeHaan
Publication completed on October 22, 2012

The Hydropower Diagnostics and SCADA Group has been researching and evaluating various machine condition monitoring systems for use in Reclamation hydroplants over the past several years.

It was decided to pursue an in-house written software application.
Main advantages
–This approach allows for in-house expansion and customization of the software.
–Works with a variety of commercially available DAQ equipment
Keywords: hydro power plant machine condition monitoring

This information was last updated on October 22, 2014
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