A Novel Wireless Sensor Network with Advanced Prognostic Algorithms for Condition Based Maintenance of Critical Power Plant Components

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$750,000.00
Award Year:
2008
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-07ER84676
Award Id:
84235
Agency Tracking Number:
82441
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
13619 Valley Oak Circle, Rockville, MD, 20850
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
620282256
Principal Investigator:
Chiman Kwan
Dr
(301) 315-2322
chiman.kwan@signalpro.net
Business Contact:
Chiman Kwan
Dr
(301) 315-2322
chiman.kwan@signalpro.net
Research Institution:
n/a
Abstract
Improving efficiency, reducing emissions, and reducing costs are key objectives of power plants. The achievement of these objectives will require the development of two mutually dependent functions: distributed data acquisition and real-time data interpretation. This project will combine a wireless sensor network (WSN) with an advanced diagnostic and prognostic capability to monitor and assess critical power plant components. In Phase I, two test beds were constructed: one for emulating electrical faults and one for emulating mechanical faults. Real-time experiments were performed, with wireless data collection used in all experiments. Real-time health monitoring algorithms were developed, and actual bearing data were used to validate the algorithms. Phase II will implement all of the diagnostic and prognostics tools in a real-time processing unit. Real-time field tests will be carried out with a WSN to collect various sensor data. Commercial Applications and Other Benefits as described by the awardee: The technology should find use in any application (DOE, NASA, military, or commercial) involving electrical and mechanical components. Specific applications include turbine engines, bearings, pumps, gearboxes, motors, and generators.

* information listed above is at the time of submission.

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