Quantification of dynamic human error probabilities in terms of sampled timing data

This article presents a quantified correlation process to assess those dynamic human error probabilities (HEP) for which timing data can be sampled from generic occurrrences and/or from plant-specific simulator training records. The method is based upon the comparison between two random variables which represent the critical time for system response and action time for operator achievement capability respectively. The maximum entropy estimator is employed to handle the sampled timing data. Typical operator action is presented to demonstrate this method. (orig.)