Cart (Loading....) | Create Account
Close category search window
 

Developing a data driven prognostic system with limited system information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)

The purpose of this research is to determine the feasibility of an automated, self-modifying prognostic system, along with a library of supporting algorithms that could be applied to the Airborne Laser (ABL) (http://www.airbornelaser.com/, 2003). The library will consist of data mining and prognostic algorithms supporting an architecture capable of refining and implementing the algorithms that monitor a critical system without a human-in-the-loop. When the data mined indicates systemic changes, the selfmodifying prognostic system refines the previously developed algorithm. The resulting library architecture will be portable to different platforms and extensible to accommodate advances in data-driven prediction and prognostics techniques. The ABL is part of a highly classified program within the DoD, and as such, detailed system information and data was not available outside the program. This extended abstract describes the approach we are taking to develop a data-driven prognostic system for the ABL, given the limited distribution of ABL information. Our approach can be outlined as follows: 1) Gather available unclassified information about the system; 2) Identify similar, but unclassified, systems; 3) Draw parallels, as appropriate, between the two systems; and 4) Develop the solution architecture using the alternative system as a test case.

Published in:

High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on

Date of Conference:

25-26 March 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.