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Payload Integrated Health Management Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-09-M-0131
Agency Tracking Number: F083-212-2381
Amount: $99,988.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF083-212
Solicitation Number: 2008.3
Timeline
Solicitation Year: 2008
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-02-20
Award End Date (Contract End Date): 2010-02-19
Small Business Information
18000 Jefferson Park Suite 104
Middleburg Heights, OH 44130
United States
DUNS: 003865297
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Barry Penswick
 Principal Investigator
 (440) 234-9173
 mark.wagner@sensorcon.com
Business Contact
 Ashwin Shah
Title: President
Phone: (440) 234-9173
Email: mark.wagner@sensorcon.com
Research Institution
N/A
Abstract

Development of a full-scale reliability based Prognostic Health Management (PHM) models/algorithms that are based on the physics of failure and actual failure data (past experience, ground tests) and integrate them into real time software tool for the health monitoring of the satellite payload systems is proposed. The predictive prognostic models proposed for development shall utilize expert knowledge and experience to identify possible failure mechanisms, including past performance and test data, degradation modes, and effects of uncertainties in the involved variables. The Spacecraft Prognostic Health Management System (SPHMS) software tool shall be developed so that it is user friendly and can be easily interfaced with other tools of the spacecraft autonomy.  The proposed SPHMS shall be capable of assessing the payload performance reliability and/or the potential for near term failure as well as allow the identification of parameters governing the payload system performance. This will allow an informed decision to be made on payload performance reliability and effectiveness of target identification and tracking process.  Additionally, the proposed SPHMS will be developed in a generic manner so as to make it applicable to different types of satellite systems. BENEFIT: The ability to accurately identify the target and track its movement is primarily dependent on the payload performance of the satellite system.  Reliability based prognostic health management  lends significant benefits from the viewpoint of insuring that mission critical functions can be carried out with a high probability of success. In addition, the proposed evaluation system will allow identification of questionable components, subsystems and its operating characteristics in a logical manner based on a detailed physics-based understanding of the various failure modes and performance degradation mechanisms. This will allow an informed decision to be made on how to overcome the weakness of a degrading component/system by using the strength of healthy components/system and empower the satellite self awareness.  It also, enables making decisions on how reliable the target identification and tracking of the system is. Integrated physics-based upward compatible SPHMS provides easy integration in to the larger as well as a cluster of payload systems.  It enables the payload designer to use the optimum capability of each individual constituent component and determine the design payload for a desired reliability while reducing cost and increasing the confidence in the mission and objectives.

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

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