Abstract
Achieving fleet-wide management and decision-making support raises challenges that still have to be addressed. Toward this end, new methodologies, methods and tools are required to identify the related health indicators, support continuous monitoring, enable predictive diagnosis, and provide suitable prognosis facilities in order to carry out proactive health management. In this paper, an approach to proactive fleet health monitoring and management is proposed. The underlying modeling methods are introduced as well as health monitoring facilities for proactively reacting to system performance drift.
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