Adaptive, Dynamic Life Models of Drive Train Clutch Systems

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
N68335-03-C-0191
Award Id:
64820
Agency Tracking Number:
N031-0911
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6 New England Executive Park, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
094841665
Principal Investigator:
AsifKhalak
Senior Research Engineer
(781) 273-3388
asif.khalak@alphatech.com
Business Contact:
JohnBarry
Contracts Manager
(781) 273-3388
jbarry@alphatech.com
Research Institute:
n/a
Abstract
ALPHATECH proposes, in conjunction with our partners, Rolls-Royce North America, a novel approach to the prognostic modeling of drivetrain clutch systems, combining dynamic modeling of transients with physics-of-failure based hazard modeling. Inparticular, our effort is focused towards the F35B LiftFan clutch, to which our models and techniques will be applied. The goal is to predict clutch problems before they impact vehicle performance, enabling the vision of autonomic logistics throughprecision sensing and prognosis. Our approach entails two components: a modeling part and an estimation part. The model extends existing LiftFan clutch dynamic models to address the transient engagement dynamics, and incorporates severalphysics-of-failure models for different types of failures. The estimation component uses a Markov approach to compute the current and future fault probabilities, and incorporates a Bayesian data fusion scheme to combine the model-based estimates withanomaly detection estimates. The Markov approach dynamically adapts the hazard used in the life prediction using actual measurements. Further, our physical modeling approach addresses the unique features of this clutch, which has extremely high powerdensity and transient loads. The combined modeling and estimation solution has the potential to provide high-accuracy predictions of remaining useful life. Advanced prognostic models are urgently needed for the LiftFan clutch, which provides an immediatecommercial avenue for this research. More generally, drivetrain clutches of the disk type are found on a vast diversity of power transmission systems, from helicopters to cars. An improved prognostic capability in the area of clutch life would bemarketable in such areas.

* information listed above is at the time of submission.

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