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
Contract: DE-FG02-07ER84676
Agency Tracking Number: 82441
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: 21
Solicitation Number: DE-PS02-06ER06-30
Small Business Information
Signal Processing, Inc.
13619 Valley Oak Circle, Rockville, MD, 20850
DUNS: 620282256
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Chiman Kwan
 Dr
 (301) 315-2322
 chiman.kwan@signalpro.net
Business Contact
 Chiman Kwan
Title: Dr
Phone: (301) 315-2322
Email: 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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