人間オペレータによるシステムの故障探知について Ｉ モニタの場合

Abstract

Two types of model, which describes the human monitoring behabior in failure detection task are proposed in this paper. In the first model, detection behavior of human monitor is modeled by two linear optimal estimator (Kalman filter); the failure detection mechanism in the model is based on Wald's Sequential Probability Ratio Test (SPRT). The second model is composed of two fundamental function, that are, linear predictor using autoregressive model and Wald's SPRT. Digital simulations are carried out for checking on the accuracy of proposed models and illustrating the procedure to predict monitor's performance. The simulation results of detection time (the time needed for detecting the failure) and detection accuracy (frequency of miss and/or false alarm) are compared with data obtained from a set of failure detection experiments. From these comparison, it is found that the models can explain adequately the essential characteristics of human operator performing the monitoring task, and also important information for system failure detection by human monitor is rate of visual perception signal. The second model will be applied to a study of failure detection by human controller in a further paper.