You are here

Real-time Onboard and Remote Vehicle Health Management

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS2-02061
Agency Tracking Number: 00056
Amount: $499,951.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
100 Great Meadow Road, Suite 501
Wethersfield, CT 06109
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Somnath Deb
 (860) 257-8014
Business Contact
 Kevin Cavanaugh
Title: Chief Operating Officer
Phone: (860) 257-8014
Email: kevin@teamqsi.com
Research Institution
 University of Connecticut
 Phyllis Thomas
 
U-157, 260 Glenbrook Road,
Storrs, CT 06269
United States

 (860) 486-8558
 Nonprofit College or University
Abstract

The Phase I of this effort has proven key concepts of our proposed comprehensive health management solution: namely remote and shadow diagnosis over low-bandwidth network and prognosis based on statistical techniques. Our telediagnosis solution has been demonstrated to Honeywell and NASA-JSC, and is being considered for remote monitoring of the Space Station. It is also the centerpiece of Honeywell?s NOVA program (www.wipnova.com). Encouraged by the strong response from NASA and the Aerospace industry, we would like to develop on the shadow reasoning framework and statistical prognosis techniques from our Phase I effort and make RDS the most capable and scalable Intelligent Vehicle Health Management solution, onboard or remote. In Phase II we will add a novel new feature in our reasoner to explain in intuitive terms the diagnosis inferred by the reasoner. Such a capability will speed the adoption of the reasoner by experts, and will have applications in training. We will also address challenging issues of test sequencing in the presence of uncertainties and diagnosis in the presence of variable delay in detection of the fault(s) by tests. The new algorithms will be incorporated into our telediagnosis product, the Remote Diagnosis Server (www.teamqsi.com/rds).

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government