| Sol No.: |
Navy SBIR FY2010.1 |
| Topic No.: |
N101-006 |
| Topic Title: |
System-ID Filtered Comprehensive Prognostics and Health Management (SIC PHM) |
| Proposal No.: |
N101-006-0601 |
| Firm: |
Aurora Flight Sciences Corporation
9950 Wakeman Drive
Manassas, Virginia 20110 |
| Contact: |
George Kiwada |
| Phone: |
(617) 500-4839 |
| Web Site: |
www.aurora.aero |
| Abstract: |
The availability of an air vehicle to perform missions or generate sorties is negatively impacted by time spent on the ground due to scheduled servicing and maintenance. Prognostics and Health Management (PHM) is an emerging technology that enables improved condition based maintenance on air vehicles by comparing sensor data to prognostic models of components and subsystems to predict wear as it occurs. Currently, implementation of advanced PHM has been focused on new designs of manned aircraft, such as the Joint Strike Fighter , to allow co development of the PHM system and its specific sensors in the design process. Unmanned Aerial Systems (UAS) have sensors and subsystems already installed that can provide the capability for a PHM retrofit on in-fleet systems. Aurora proposes the System-ID filtered Comprehensive Prognostics and Health Management system (SIC PHM) The SIC PHM system compares estimates of the vehicles current state to on-board models of the aircraft to generate a better understanding of the real-time operating condition of the vehicle and its constituent components. |
| Benefits: |
The System-ID filtered Comprehensive Prognostics and Health Management system targeted for development in this Phase 1 effort will significantly enhance the utility of deployed UAS assets by reducing maintenance downtime and the logistics burden and cost of unnecessary replacement parts. This added capability will lead to higher sortie generation rates for Unmanned assets and can be easily integrated into an autonomic logistics infrastructure for even greater benefits. This Phase 1 effort is expected to establish the feasibility of using System-ID to detect vehicle faults and manage the prioritization of PHM sensor data. It is anticipated that the proposed approach will lead to the development of a generic SIC PHM system architecture that can be further developed for specific application on a variety of UASs. |