SBIR/STTR Research Award

Machinery Health Monitoring for Shipyard Productivity

Award identifier e300104e2ba62da0d5c77fb28a970eeec5ef5c2e847dc4e9f8ba96d136c8b7cfAwarding agency Department of Defense · Navy

Award amount

$730,138

Program and phase

SBIR · Phase II

Award year

2004

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
RLW, INC.
Proposal award date
2004-09-08
Contract end date
2007-10-18
UEI
Not reported
Solicitation number
2003.1
Topic code
N03-105

Research abstract

This proposed Phase II will result in a market-ready, commercially available, machinery health monitoring system for shipyard mobile cranes. The effort will exercise substantial leveraging from completed and ongoing development work funded by SBIR, National Shipbuilding Research Program (NSRP), and Center for Naval Shipbuilding Technology (CNST). This Phase II SBIR has its foundation in the recognition that condition-based maintenance (CBM) and machine health monitoring provide the highest payback when applied to the most critical machinery. When asked what equipment qualifies for CBM, in terms of frequency and seriousness of failure, shipyard managers always point to their mobile cranes. This Phase II will add substantial breadth and depth to the Phase I and to the NSRP/CNST work by adding many components to the list of those monitored and by supporting iterations of algorithm improvement, accomplished as the machinery is operated and history and experience grows. Similarly, the monitoring hardware, software, and communication systems will be improved with increasing experience. The team is comprised of RLW Inc; the Penn State University Applied Research Laboratory (ARL); and two shipyards: NASSCO (General Dynamics), San Diego; and Ingalls (Northrop Grumman Ship Systems), Pascagoula. The experienced teammates have proven their ability to work effectively together on other projects.

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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