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Fault-to-Failure Progression Modeling for Propulsion and Drive Train Clutch…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2003 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Impact Technologies, LLC
NY Rochester, NY 14623-2893
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: Fault-to-Failure Progression Modeling for Propulsion and Drive Train Clutch Systems
Agency / Branch: DOD / NAVY
Contract: N68335-03-C-0190
Award Amount: $69,965.00


Impact Technologies, in collaboration with Rolls Royce, proposes to develop and demonstrate a prognostic modeling paradigm for use with drive train components. Drive train and clutch systems on modern weapons platforms are highly dynamic and have thepotential for high load densities due to compact packaging. Between the many different elements of the drive system there is an extensive amount of functional interaction and dependency, which complicates the tracking of faults as they progress to thepoint of compromising function (failure). To address this coupling dependency, Impact will apply system models, suitable wear and fatigue failure mode progression (prognostic) algorithms, and advanced knowledge fusion in a probabilistic framework and applyit to drive line components such as: clutches, gears, bearings and shafts. Initial focus will be on a Joint Strike Fighter clutch mechanism. A verification plan with consideration to the Rolls Royce drive train development program will also be evaluatedfor this prognostic approach. The ability to assess drive train clutch health and produce more accurate time-to-failure predictions through sensor feature observation, performance and damage models, uncertainty estimation, and confidence interval faultevolution predictions in near real-time will result in operational benefits through a reduced risk of safety-related system failures and increased system readiness. In addition, maintenance benefits will occur through a decrease in costly preventativemaintenance/overhauls and transition to prognostic health management and autonomic logistics strategies. The failure progression modeling techniques could be implemented in a wide range of military applications including the Joint Strike Fighter, AdvancedAmphibious Assault Vehicle, Landing Craft Air Cushion, and many ground (tank and truck) vehicles. The developed technologies could also be readily adapted to commercial land and water vehicle drive systems, industrial actuation systems, andmanufacturing/processing applications.

Principal Investigator:

Carl S. Byington
Director, Research and De

Business Contact:

Mark L. Redding
Small Business Information at Submission:

125 Tech Park Drive Rochester, NY 14623

EIN/Tax ID: 161567136
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No