NASA SBIR 02-1 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER:02- H3.09-9224 (For NASA Use Only - Chron: 022775 )
SUBTOPIC TITLE: Spaceport Command, Control, and Monitor Technologies
PROPOSAL TITLE: New and Improved Classifiers for Fault Diagnosis

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Intelligent Automation, Inc.
7519 Standish Place Suite 200
Rockville , MD   20855 - 2785
(301 ) 294 - 5238

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Chiman Kwan
ckwan@i-a-i.com
7519 Standish Place Suite 200
Rockville , MD   20855 - 2785
(301 ) 294 - 5200

TECHNICAL ABSTRACT (LIMIT 200 WORDS)
Many existing fault classification algorithms use Bayesian approach to fuse different classifiers. One notable problem is that the Bayesian approach cannot distinguish between consistent but low probability data and inconsistent data. Moreover, the Bayesian approach cannot properly handle incomplete and uncertain evidence caused by measurement noise or interferences.

Here Intelligent Automation, Inc. (IAI) and its consultant Prof. Henry Leung of the University of Calgary, jointly propose two ways to improve the performance of existing fault classification algorithms. First, we propose to apply the latest development in classification theory known as Support Vector Machines (SVM) to improve the accuracy of classifiers. SVM has several attractive advantages, including global optimal solutions, no over-training problems, explicit bounds on achievable performance, and better recognition performance than most learning systems for a wide range of applications. Second, we propose to apply Dempster-Shafer (DS) theory to fuse several classifier outputs together. DS theory has several advantages such as commutative and associative properties, which means the identification results are independent of the order in which the data is presented. The most important advantage is that DS theory can explicitly take the evidence uncertainty into account. Hence the system will be very robust to noise and uncertainties.

POTENTIAL COMMERCIAL APPLICATIONS (LIMIT 150 WORDS)
The proposed algorithm can be used for both military and commercial systems. Military applications include components in the Future Combat Systems, and Joint Strike Fighter. Commercial applications include bearings, pumps, gearboxes, etc. The market size will be the same as the NASA market.

POTENTIAL NASA APPLICATIONS (LIMIT 150 WORDS)
In this Phase 1 and Phase 2, we intend to apply the proposed technology to some selected systems by pur partner at Boeing with respect to some specific NASA systems such as Main Propulsion System, Thermal Control System, etc. We expect to produce both software and hardware products. The market size for the anticipated products is estimated to be more than 10 million dollars.


Form Printed on 09-05-02 10:10