The development of machinery health monitoring technologies has taken center stage within the DoD community in recent years. Existing health monitoring systems, such as the Integrated Condition Assessment System (ICAS) for NAVSEA, enable the diagnosis of mission critical problems using fault detection and diagnostic technologies. These technologies, however, have not specifically focused on the automated prediction of future condition (prognostics) of a machine based on the current diagnostic state of the machinery and its available operating and failure history data. Current efforts are focused on developing a generic architecture for the development of prognostic systems that will enable “plug and play ” capabilities within existing systems.
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Byington et al. (2004) studied this question.
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