Abstract
This paper presents a brief introduction to state estimation techniques, in particular Kalman filtering. A description of the Kalman filter and its properties is given. An example employing a three-state K, alman filter is given which highlights the modeling capabilities of the estimation technique. The example, concerned with estimating material loss, is contrasted with the standard CUSUM control chart statistic.