SBIR/STTR Research Award

Incipient Fault-to-Failure Progression Models and Software for Drive Train Clutch Systems

Award identifier 62534d9d1273eafe1b72054f8a981dbd4810124ebf342b82d2db2cd0a7bf0368Awarding agency Department of Defense · Navy

Award amount

$1,244,170

Program and phase

SBIR · Phase II

Award year

2004

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Impact Technologies
Proposal award date
2004-08-13
Contract end date
2006-08-13
UEI
T1JNUWJLN5M1
Solicitation number
2003.1
Topic code
N03-028

Research abstract

Impact Technologies (Impact), in collaboration with Rolls-Royce (RR), proposes to further develop and demonstrate a prognostic modeling and data processing paradigm for use with drive train components such as gears, bearings, shafts and clutches. Drive train and clutch systems on modern weapons platforms are highly dynamic and have the potential for high load densities due to compact packaging and minimal design margins. There is an extensive amount of functional interaction and dependency between the propulsion and drive systems, which complicates the tracking of faults as they progress to the point of compromising function (failure). Moreover, there exists uncertainty in modeled conditions, properties and measured fault indicators. In order to develop a truly predictive capability under these conditions, Impact proposes to mature its Phase I developed system models, wear and fatigue failure mode progression (prognostic) algorithms, machinery vibration analysis techniques and advanced knowledge fusion methods within a probabilistic framework and apply it to the major driveline components of the Joint Strike Fighter LiftFanT system. The algorithms will account for specific conditions and mechanical uncertainties to determine the existence of faults and, whenever possible with sufficient historical trending, the remaining useful life of the critical, life-limited LiftFanT components. Phase II will focus on development, verification and a transition plan with consideration to the Rolls-Royce drive train development program and its Prognostic and Health Management (PHM) needs. As part of this effort, Impact proposes to provide near real-time monitoring of the JSF LiftFanT test cell (Rig 157) located at Rolls Royce's Indianapolis facility. This monitoring capability will employ advanced vibration techniques to monitor the health and detect incipient faults present in LiftFanT gears and bearings. Upon completion of this proposed Phase II effort, Impact will validate the developed software/hardware package on the available operational data and demonstrate its capabilities using a customized graphical interface. Impact will also evaluate the use of such algorithms for onboard PHM through further enhancements.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

232 SBIR/STTR records share this UEI (1999–2014). Reported award amounts total $76,299,884. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy, Department of Homeland Security, Department of Transportation

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.