ABSTRACT
The application of stochastic filtering for prediction of wear is described, applying the approach in the case of a simple wear model and determining the estimate for accumulated wear given the results of condition monitoring measurements. The estimate is formed by updating the distribution of a stochastic process, which describes the degree of wear. The updating procedure is based on the successive application of the Bayes formula. Although the analytical calculations are difficult, it is concluded that the approach is promising.
