Application of Wireless Sensors for Predictive Maintenance of Rotating Equipment in DOE's Research Reactors

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$749,736.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-08ER85004
Award Id:
89698
Agency Tracking Number:
n/a
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
9111 Cross Park Drive, Building A, Knoxville, TN, 37923
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
021567144
Principal Investigator:
HashemHashemian
Mr.
(865) 691-1756
hash@ams-corp.com
Business Contact:
DarrellMitchell
Mr.
(865) 691-1756
mitchell@ams-corp.com
Research Institute:
n/a
Abstract
Research reactors in the United States use numerous motors, compressors, fans, turbines, and other rotating equipment that need systematic maintenance. These devices could benefit from advanced predictive maintenance techniques that have become available in recent years. Although some reactor facilities currently incorporate some of these techniques, many lack an adequate complement of test sensors for predictive maintenance. This project will combine wireless sensors with other advanced predictive maintenance techniques to improve the safety, reliability, and efficiency of DOE research reactors. In Phase I, several wireless sensor systems were installed at an operating research reactor, and the feasibility of using wireless sensors for condition monitoring of rotating equipment was established. A conceptual design for a prototype wireless condition monitoring system was developed. Phase II will develop an integrated wireless monitoring system consisting of (1) ruggedized hardware for use in outdoor installations, and (2) custom software algorithms for processing and analyzing data collected from the wireless sensor arrays. Commercial Applications and other Benefits as described by the awardee: The technology should help with both the safety and economy of research reactors by significantly improving the facility¿s predictive maintenance program, while at the same time reducing the amount of labor required to perform predictive maintenance tasks. In addition to research reactors, the technology should benefit commercial nuclear power reactors and all industrial installations that involve rotating equipment.

* information listed above is at the time of submission.

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