Title :
Prognostics framework [for weapon systems health monitoring]
Author :
Su, Li Pi ; Nolan, Mary ; DeMare, G. ; Carey, David R.
Author_Institution :
Test, Meas. & Diagnostic Equip. Activity, US Army Aviation & Missile Command, Redstone Arsenal, AL, USA
Abstract :
US Army Policy is outpacing technology capability in the requirements for systems´ prognostics. During the past five years, research and development (R&D) has been ongoing in the area of component prognostic techniques in laboratories, universities, and industry. The R&D has resulted in point solutions to specific items, but in general, they are expensive and provide limited system-level information. The US Army Logistics Integration Agency has funded the development of a “Prognostics Framework”. This “Prognostics Framework” is generic, open architecture, horizontal technology, and tailorable. The Prognostics Framework approach will save time, money, and program-specific funds. It is the fastest way to converge various prognostics capabilities into manageable information for the system operators, the maintenance crew, and logistics planners across Army systems. The Prognostic Framework, a system-level prognostic manager, ties-in to logistics infrastructure, (e.g., IETM, logistics planning, mission planning, and spare parts provisioning). Prognostics Framework will be integrated with embedded diagnostics to provide a total “Health Management” capability. This paper will provide the initial information about Prognostics Framework architecture, design approach, and a brief summary of the prognostic mechanisms survey
Keywords :
automatic test equipment; automatic test software; case-based reasoning; condition monitoring; diagnostic expert systems; diagnostic reasoning; logistics data processing; sensor fusion; software tools; weapons; component prognostic techniques; data fusion; embedded diagnostics; generic open architecture; horizontal technology; incipient faults identification; logistics infrastructure; logistics planning; mission planning; model based diagnostic reasoning; prognostics framework; software tool; spare parts provisioning; system-level prognostic manager; total health management capability; weapon systems; Educational institutions; Information management; Laboratories; Logistics; Missiles; Remotely operated vehicles; Research and development; Space vehicles; Telephony; Testing;
Conference_Titel :
AUTOTESTCON '99. IEEE Systems Readiness Technology Conference, 1999. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5432-X
DOI :
10.1109/AUTEST.1999.800441