STOCHASTIC KALMAN FILTERING FOR PREDICTING THE SERVICE LIFE OF A STEAM GENERATOR IN A NUCLEAR POWER PLANT

摘要

Determining the mechanism of damage accumulation in a material taking account of the statistical data remains an urgent problem when making service-life predictions for power equipment. The method of statistical prediction that is currently in use has substantial drawbacks: it is impossible to make predictions under varying operating conditions. Therefore, the solution must be sought in the form of a procedure that takes account of the nature and randomness of the aging process. In addition, the data provided by monitoring give important additional real-time information.