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
Link To Document :
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