Using Wiener Model Damage in Two Tank System and Prediction of the Remaining Useful Lifetime

摘要

In the present paper, a new technique is used to estimate two tank system fault (clogging or partial blockage in section pipeline). The technique is based on a unidimensional flow analysis. In our study it is assumed that the fault localization is known, remains to analyze the evolution of the blocking particles of the section of the pipeline. Predicting Remaining Useful Life (RUL) of partial blockages pipeline is necessary to modeling the effect of major preventive maintenance actions within the prediction horizon. The Extended Kalman Filter (EKF) algorithm is used to estimate the state vector in a nonlinear system. In the framework to estimate the nonobservable system state, the stochastic filtering approaches are frequently used. The Extended Kalman filtering approach gives an estimation of the system state based on all collected measures history; therefore these methods can give reliable performances for the degradation states estimation.