Payload Integrated Health Management Systems

Period of Performance: 02/20/2009 - 02/19/2010

$100K

Phase 1 SBIR

Recipient Firm

Sest, Inc.
18000 Jefferson Park, Suite 104
Middleburg Heights, OH 44130
Principal Investigator

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.