DocumentCode
358362
Title
Prognostics framework software design tool
Author
Su, Li Pi ; Nolan ; DeMare, Greg ; Norman
Author_Institution
US Army Test Meas., Redstone Arsenal, AL, USA
Volume
6
fYear
2000
fDate
2000
Firstpage
9
Abstract
The U.S. Army logistics integration agency has funded (1998-2000) the advanced technology office (ATO), the U.S. Army test, measurement, diagnostic equipment activity (USATA), the U.S. Army AMCOM, to develop a “Prognostics framework”. This is a generic software developmental tool set, open architecture capability to integrate various prognostic mechanisms, and to provide operational and logistic decision-making information. The Prognostics framework is a horizontal technology and is tailorable to apply to new and existing systems. This approach saves time and money. It is the fastest to converge on Prognostics capabilities into manageable information for the system operators, the maintenance crew, and logistics planners across systems. The prognostic framework, a system-level prognostic manager, ties-in to logistics infrastructure (e.g.: IETM, logistics planning, mission planning, statistical tools, spare parts provisioning...). Prognostics Framework is integrated with diagnostics to provide a total Health Management Capability. This paper provides Prognostics framework architecture, design approach, and interfaces capabilities
Keywords
logistics data processing; military systems; software architecture; software tools; U.S. Army AMCOM; U.S. Army logistics integration agency; interfaces; logistic decision-making; logistics infrastructure; logistics planners; logistics planning; maintenance crew; mission planning; open architecture; operational decision-making; software design tool; spare parts; statistical tools; system operators; Automation; Computer architecture; Condition monitoring; Information management; Logistics; Runtime; Software design; Telephony; Testing; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference Proceedings, 2000 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
0-7803-5846-5
Type
conf
DOI
10.1109/AERO.2000.877852
Filename
877852
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