A Bayesian Framework for Remaining Useful Life Estimation
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A Bayesian Framework for Remaining Useful Life Estimation
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a potent tool in decision making by quantifying how much time is left until functionality is lost. This is especially true for aerospace systems, where unanticipated subsystem downtime may lead to catastrophic failures. RUL prediction needs to cont...
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تاریخ انتشار 2007