Distributed Ontogenetic Reasoning System

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-04-C-0179
Agency Tracking Number: N041-010-0810
Amount: $99,886.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: N04-010
Solicitation Number: 2004.1
Small Business Information
INTELLIGENT AUTOMATION CORP.
13029 Danielson Street, Suite 200, Poway, CA, 92064
DUNS: 097858836
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joel Bock
 Scientist
 (858) 679-4140
 joel.bock@iac-online.com
Business Contact
 Laura Goodrich
Title: Vice President, Contracts
Phone: (858) 679-4140
Email: laura.goodrich@iac-online.com
Research Institution
N/A
Abstract
The Joint Strike Fighter Program (JSF) will produce the most sophisticated warfighter in the history of military aviation. JSF is unique as a major weapons system acquisition program in that the economics of system operation, support and maintenance are being developed concurrently with the technology. The JSF Autonomic Logistics (AL) Program aims to minimize operational and support costs by increasing system reliability, reducing maintenance requirements to essential levels. Using Prognostics and Health Management (PHM), materials and maintenance are ordered/performed only when needed, obviating costly routine scheduled maintenance, and reducing aircraft downtime. This vision of efficiency and responsiveness implies real-time communication between the intelligent air vehicle, industrial contractors and their suppliers, and the aircraft maintenance and support team. All of these entities require access to prognostics based on sensor data or life cycle models, and historical information on maintenance to optimized decision making in support of PHM. Here, IAC addresses the need for an intelligent software infrastructure system to manage this complex system. This system features an adaptive knowledge base of maintenance information and distributed intelligent agents which analyze sensor data, PHM model outputs and past behavior to recommend actions under dynamic and uncertain conditions.

* information listed above is at the time of submission.

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