FMECA driven EHM design

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,627.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
F33615-03-M-2404
Award Id:
62455
Agency Tracking Number:
F031-2215
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
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
808837496
Principal Investigator:
Jacob Mesick
Project Manager
(860) 257-8014
jay@teamqsi.com
Business Contact:
Kevin Cavanaugh
Chief Operating Officer
(860) 257-8014
kevin@teamqsi.com
Research Institution:
n/a
Abstract
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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