The Prognostics Center of Excellence (PCoE) at Ames Research Center provides an umbrella for prognostic technology development, specifically addressing prognostic technology gaps within the application areas of aeronautics and space exploration. The PCoE is currently investigating damage propagation mechanisms on select safety-critical actuators for transport-class aircraft, damage mechanisms on aircraft wiring insulation, and damage propagation mechanisms for critical electrical and electronic components in avionic equipment. We are also in the process of extending a testbed that will allow the comparative analysis of different prognostic algorithms. In addition, data collected from aging processes will be made available to the research community (see link to data repository below).
Next-generation aircraft such as this morphing wing concept will experience new and unknown faults and failure modes, and will benefit from integrated health management.
The common thread among the various avenues of prognostic technology development is the investigation of physics-of-failure at the component level. Modeling damage initiation and propagation at this level is a key element in describing component health. Just as important is the investment of resources into algorithm development to provide the estimates for remaining component life and for uncertainty management.
Some of the challenges that we are interested in tackling include:
To that end, we will employ tools from engineering, statistics, and machine learning. Specifically, we draw upon expertise in:
Prognostic Data Repository
One of the common bottlenecks in prognostic algorithm development is the availability of data that allows the comparison and benchmarking of algorithm performance. This data repository is geared towards easing that bottleneck by making available prognostic data sets to the research community.
+ Visit Prognostic Data Repository
Advanced Diagnostics and Prognostics Testbed
The PCoE supports the prognostics aspects of the Advanced Diagnostics and Prognostics Testbed (ADAPT). ADAPT is a unique facility designed to test, measure, evaluate, and help mature diagnostic and prognostic health management technologies. Hardware and a support environment are now being added that will allow the injection of faults in a repeatable and standardized fashion such that prognostic assessments can be performed.
+ Visit ADAPT
Center Coordinator
Kai Goebel, Ph.D.
Co-Director,
Physics-Based Modeling
Vadim Smelyanskiy
FYI:
Industry-Day Presentations
Upcoming Events
- Ames Exploration and Sustainability Showcase, NASA Ames, April 21, 2009
Conferences
Annual Conference of the PHM Society, San Diego, CA Sept. 27-Oct 1, 2009
www.phmconference.org
Center Members
Edward Balaban
Anupa Bajwa
Jose Celaya
Matt Daigle
Santanu Das
David Iverson
Robert Mah
Dawn McIntosh
Rodney Martin
Ole Mengshoel, Ph.D.
Sriram Narasimham
Nikunj Oza
David Nishikawa
Ann Patterson-Hine
Scott Poll
Bhaskar Saha
Sankalita Saha
Abhinav Saxena
Mark Schwabacher
Ashok Srivastava
Adam Sweet
Dogan Timucin
Kevin Wheeler
Phil Wysocki
Collaborations & Associations
Arizona State University
Auburn University
Clarkson University
Dell
Georgia Tech
Global Tech
Idaho National Lab
Impact Technologies
ISO
JSF
Montana Tech
Moog
Penn State
Qualtech
Ridgetop
Scientific Monitoring, Inc.
Sentient Corporation
Stanford University
USAF
University of Maryland
Current Interns
Hahna Alexander
-Carnagie Mellon University
Gilbert Castillo
-Florida Institute of Technology
Julian Corona
-University of Notre Dame
Mona Fahimi
-San Jose State University
Nishad Patil
-University of Maryland
Gayathri Varadarajan
-Arizona State University
Past Interns
Prasun Bansal
-Stanford University
Mark Barycza
- Santa Clara University
Joe Calderon
Patrick Ho
- University of Virginia
Anish Kumar
-San Jose State University
Iris Lee
- San Jose State University
Greg Sonnenfeld
-New Mexico State University
Christian Talmage
- Dartmouth College
Caroline Uriarte
- Colorado School of Mines