Failure prognosis of multiple uncertainty system based on Kalman filter and its application to aircraft fuel system
Failure prognosis is the key point of prognostic and health management or condition-based maintenance, the multiple uncertainty sources in real world will lead to inaccurate prediction.In this paper, an advanced failure Stickers prognosis method with Kalman filter is presented to address the real-world uncertainties.The multiple uncertainty sources