An On-line Monitoring and Data Analysis Process for Aircraft Bus Failure Forecasting and Health Management

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F42650-02-P-1784
Agency Tracking Number: 021XP-1456
Amount: $99,942.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
100 Great Meadow Rd., Ste 501, Wethersfield, CT, 06109
DUNS: 808837496
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Amit Mathur
 Senior Research Engineer
 (860) 257-8014
Business Contact
 Kevin Cavanaugh
Title: Chief Operating Officer
Phone: (860) 257-8014
Research Institution
"Qualtech Systems, Inc. (QSI) proposes to research the feasibility of implementing an active testing and analysis system for aircraft buses by considering both the architectural/implementation issues as well as the data monitoring and analysis techniquesrequired for characterizing bus faults and forecasting failures as a function of degradation in bus performance. QSI will utilize its experience in developing integrated diagnostics solutions and will leverage work it has performed as part of amulti-company wiring integrity program for aging aircraft. In order to strengthen the research team developing fault models of aircraft buses, QSI will collaborate with Lectromec for expertise in characterization and isolation of wiring faults. In PhaseI, we will survey existing bus monitoring systems, maintenance data sources, and troubleshooting procedures, and investigate the mechanisms behind the manifestation of various bus faults as communication errors. We will research statistical/learningmodels that can aid in identifying current bus failures and forecasting impending failures, and, in particular, explore the applicability of a novel approach to prognostics based on statistical analysis of discrete health data. Finally, towards developingpreliminary specifications for Phase II development, we will study alternative hardware configurations for embedding the new analysis software. The proposed solution is expected to benefit the overall

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

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