Kalman Filtering and Its Application to Reliability

The basic ideas of Kalman recursive filtering is explained in such a manner that the application of these ideas to reliability may be seen. The Bayesian viewpoint is adopted, and the explanation of Kalman filtering is broken into two parts: 1) the combination of an old estimate with data, and 2) the updating of estimates via the system model.