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Dynamic Data-Driven Prognostics and Condition Monitoring of On-board Electronics

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
83237
Program Year/Program:
2007 / STTR
Agency Tracking Number:
A074-013-0420
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Qualtech Systems, Inc.
99 East River Drive East Hartford, CT 06108-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Dynamic Data-Driven Prognostics and Condition Monitoring of On-board Electronics
Agency / Branch: DOD / ARMY
Contract: W911NF-07-C-0066
Award Amount: $99,999.00
 

Abstract:

Degradation and failure prognostics in electronic systems is a growing requirement for both military and civilian sectors of 21st century. US Army's FCS will extensively use complex electronic systems. To enhance functionality, survivality, and mission success probability of FCS platforms while limiting the logistic footprint, efficient prognostic health management is essential. Qualtech Systems, Inc. in collaboration with Center for Advanced Life Cycle Engineering of University of Maryland proposes to develop a data-driven prognostics solution for on board electronic systems of FCS platform. The effort targets to develop algorithms to detect degradation signature, measure its severity and track its progression trend. An integral part of the effort is directed towards identification of sources of degradations and forecasted faults. Multi-disciplinary analytic techniques including signal processing, time series analysis, multi-variate statistics, neural networks, probabilistic decision fusion, graph theoretic and information theoretic algorithms are envisaged for attaining a reliable prognostic solution. Preliminary research and development will be performed targeting a selected on-board electronic system of an FCS platform. Testbench validation of the developed technology followed by deployment on target platform will be performed in subsequent phases of the work. The resultant prognostic solution will be generic having applicability across various military and commercial platforms.

Principal Investigator:

Sudipto Ghoshal
Manager, Professional Services
8602578014
sudipto@teamqsi.com

Business Contact:

Chuck Vallurupalli
President & Chief Operating Officer
8602578014
chuckv@teamqsi.com
Small Business Information at Submission:

QUALTECH SYSTEMS, INC.
100 Great Meadow Rd., Suite 603 Wethersfield, CT 06109

EIN/Tax ID: 061370324
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF MARYLAND
3112 Lee Building
College Park, MD 20742-5141
Contact: Wendy Montogomery
Contact Phone: (301) 405-6269
RI Type: Nonprofit college or university