FMECA driven EHM design

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-03-M-2404
Agency Tracking Number: F031-2215
Amount: $99,627.00
Phase: Phase I
Program: SBIR
Awards Year: 2003
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
100 Great Meadow Rd., Suite 501, Wethersfield, CT, 06109
DUNS: 808837496
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jacob Mesick
 Project Manager
 (860) 257-8014
Business Contact
 Kevin Cavanaugh
Title: Chief Operating Officer
Phone: (860) 257-8014
Research Institution
The research team proposes to combine the expertise of QSI in modeling, diagnostic analysis, model-based reasoning and analysis, real-time embedded diagnosis in HUMS applications, with the strong domain knowledge of engines, engine system diagnostics, andexisting FMECA information of Pratt & Whitney (P&W), the OEM for the F100 engine system, to develop a FMECA driven EHM design approach. FMECA provides an understanding of the potential faults in the system, their manifestation as functional failures(effects), their probabilities of occurrence, and system level implications in terms of safety and mission criticality. A comprehensive EHM solution needs to leverage this understanding to identify and implement an optimum level of embedded and offboarddiagnostic and prognostic requirements. However, FMECA has been a manual engineering process performed only in initial design stage, but not kept up-to-date with field data and design changes. A key innovation of the proposed effort is that the failuremodes and effects information, along with functional and structural hierarchy and cause effect relationships are captured in models that are easy to maintain and update. This model is then utilized by the TEAMS toolset to perform FMECA analysis andgenerate the resultant EHM and ground support solution. The anticipated benefits of this project are a comprehensive FMECA driven Health Management environment that detects

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

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