Weathervane - A Predictive Analytics Engine for Global Monitoring of Wind Turbines

Award Information
Agency:
Department of Energy
Amount:
$99,977.00
Program:
SBIR
Contract:
DE-FG02-10ER85903
Solitcitation Year:
2010
Solicitation Number:
DE-FOA-0000161
Branch:
N/A
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
94501
Solicitation Topic Code:
07 c
Small Business Information
Michigan Aerospace Corporation
1777 Highland Drive, Suite B, Ann Arbor, MI, 48108
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
969868298
Principal Investigator
 Erik Erlandson
 Mr.
 (734) 975-8777
 eerlandson@michaero.com
Business Contact
 Peter Tchoryk
Title: Mr.
Phone: (734) 975-8777
Email: ptchoryk@michaero.com
Research Institution
N/A
Abstract
In order to fully capitalize on the delivery of wind energy to the U.S. power grid, unexpected wind turbine down-time due to equipment failure must be minimized. Deployed turbines typically have numerous sensors collecting information from subsystems such as the blades, gearbox, lubrication oil and the shaft. The state of the art in Condition Monitoring (CM) is currently confined to analysis of individual subsystems, with specialized analyses designed for each. Based on MAC

* information listed above is at the time of submission.

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