USA flag logo/image

An Official Website of the United States Government

A Novel Wireless Sensor Network with Advanced Prognostic Algorithms for…

Award Information

Agency:
Department of Energy 		Branch:
N/A 		Award ID:
84235 		Program Year/Program:
2008 / SBIR
Agency Tracking Number:
82441 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
SIGNAL PROCESSING, INC.
13619 Valley Oak Circle ROCKVILLE, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: A Novel Wireless Sensor Network with Advanced Prognostic Algorithms for Condition Based Maintenance of Critical Power Plant Components
Agency: DOE
Contract: DE-FG02-07ER84676
Award Amount: $750,000.00
 

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.

Principal Investigator:

Chiman Kwan
Dr
3013152322
chiman.kwan@signalpro.net

Business Contact:

Chiman Kwan
Dr
3013152322
chiman.kwan@signalpro.net
Small Business Information at Submission:

Signal Processing, Inc.
13619 Valley Oak Circle Rockville, MD 20850

EIN/Tax ID: 134320631
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No