Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants
Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants
In this paper, we present an application of particle filtering for the prediction of degradation in steam generator tubes. With a case study, we also show how the prediction results vary depending on the uncertainty of the measurement data.