Design and Develop a Real-Time On-Line RMA Trends and Analysis Repoirting Assessment Database for Towed Array Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-02-C-4054
Agency Tracking Number: N001-1110
Amount: $749,300.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
4360 Corporate Road Suite 100, North Charleston, SC, 29405
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Edward Rossi
 Senior Engineer
 (703) 892-8585
Business Contact
 Raymond Whetzel
Title: Director
Phone: (703) 892-8585
Research Institution
"Submarine Towed Array Systems (TAS) requires a process forautomating the collection of system specific data related tofleet-wide operational performance. The purpose of implementingsuch a process is to realize the benefits of Condition BasedMaintenance (CBM) to these remotely operated, externally locatedsystems. This project integrates elements that automaticallycollect real-time on-line Reliability, Maintainability andAvailability (RMA) data, conducts diagnostic/prognosticanalysis, and provides reports and online access. Consequentialto the analysis will be fleet and individual TAS healthassessment and prediction, trending and other selected RMA andCBM related maintenance functions, and management reportingcapabilities. An integrated hardware and embedded softwaresystem with server hardware to collect discrete maintenance dataand an automatic onboard data collection unit for real-time datais recommended.The LCE/ARETE TEAM proposes development of a COTS-basedcentralized online repository and analysis system for fleet-wideTAS RMA data with electronic data input at the source whichleverages individual Thinline Health Monitoring System results.The database will be integrated with new design and existingmodeling and simulation tools to evaluate towed systemperformance and predict changes in performance resulting frompolicy implementation and maintenance conduct at the ship/systemlevel. With the introduction of real-time system data

* Information listed above is at the time of submission. *

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