Integrated Diagnostics & Prognostics for Prediction of Aircraft Electronic System Failures & Useful Life Remaining

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-05-C-0099
Agency Tracking Number: N043-258-0120
Amount: $149,794.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: N04-258
Solicitation Number: 2004.3
Small Business Information
200 Canal View Blvd, 3rd Floor, Rochester, NY, 14623
DUNS: 073955507
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Carl Byington
 Director, Research & Development
 (814) 861-6273
Business Contact
 Mark Redding
Title: President
Phone: (585) 424-1990
Research Institution
Impact Technologies, in collaboration with Honeywell Inc., proposes to develop and demonstrate improved on-board embedded diagnostics for avionics as well as open communications architectures that enable information continuity between on-board and off-board systems or maintenance aids. Within this paradigm shift approach, embedded diagnostics improvements will be sought through the evaluation of improved sensed features, various artificial intelligence methods, and more detailed consideration of available data, both embedded and from a data bus monitor. The application of avionics reliability and aging (usage) models to improve assessments or resolve ambiguity will also be addressed. In addition, an ambiguity group analysis that employs data fusion will be developed to assist the at-wing, automated test equipment, if necessary, to rank probable causes. Complementary prognostic techniques including analysis of projected operating conditions by physics-based component aging models, empirical (trending) models, and system level failure progression models will be used to develop verifiable prognostic models. The proposed approach, diagnostic techniques, and prognostic models will be demonstrated during the Phase I. The utilization of all of these sources of engineering information can provide up-to-date assessments and predictions of remaining useful life for use in automated logistics systems.

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

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