SBIR/STTR Research Award

Innovative Concepts for Ultra-light and Reliable Hydraulic Actuators with Smart Actuation and a Self-learning Algorithm for System Health (SLASH)

Award identifier eb284b27dcc2301d686b631066005515752ca77b80b6fa844010894db3403256Awarding agency Department of Defense · Navy

Award amount

$76,348

Program and phase

SBIR · Phase I

Award year

2008

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
BEAVER AEROSPACE & DEFENSE
Proposal award date
2008-09-15
Contract end date
2009-03-15
UEI
C94KLMMN1WB3
Solicitation number
2008.2
Topic code
N08-119

Research abstract

The objective of this proposal is to demonstrate the ability of Beaver Aerospace and Defense to decrease the weight and cost of aircraft actuators while increasing their reliability. Aircraft actuators are a significant cost and safety concern to the Department of Defense. Beaver Aerospace and Defense is developing a Self-Learning Algorithm for System Health (SLASH) that monitors critical aircraft actuator components and uses a prognostic set of equations to predict early wear and failure probabilities. The equations and equipment used are directly applicable to subsystem and system health in aircraft.

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Defense

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