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Autonomus I&C Maintenance and Health Monitoring System for Fission Surface Power

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX10CD36P
Agency Tracking Number: 095092
Amount: $99,778.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: X7.02
Solicitation Number: N/A
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-01-29
Award End Date (Contract End Date): 2010-07-29
Small Business Information
9111 Cross Park Drive, Building A-100
Knoxville, TN 37923-4510
United States
DUNS: 021567144
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brent Shumaker
 Principal Investigator
 (865) 691-1756
 bshumaker@ams-corp.com
Business Contact
 Darrell Mitchell
Title: Business Official
Phone: (865) 691-1756
Email: dmitchell@ams-corp.com
Research Institution
N/A
Abstract

There currently exists no end-to-end reactor/power conversion monitoring system that can provide both autonomous health monitoring, but also in-situ sensor calibration and response time testing without human interface. One of the key challenges facing space nuclear power systems is their extremely remote location and requirement for multi-year missions. The current benchmark system has a mission life of at least 8 years during which time there is no opportunity for repair, sensor calibrations, or any maintenance of any kind. By contrast, terrestrial-based nuclear power plants undergo periodic outages during which time sensor calibrations can be performed. Current technology relies heavily on real-time human interaction, monitoring and control. Due to the long communication times between the Earth and Moon, or Mars, real-time human control is not possible. Therefore, these emerging programs have a critical need to develop autonomous health monitoring and control technology.

Analysis and Measurement Services Corporation proposes to develop a modular signal processing platform that will enable robust system monitoring. The proposed system, once fully developed, will be able to detect system anomalies, based on advanced analytical and empirical analysis and will enable autonomous reactor operation and corrective action.

* Information listed above is at the time of submission. *

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