Human Factors Reliability Model of Half-Digital Human-Machine Interface During Diagnosing Process Based on Hide MarKov in Nuclear Power Plants

Taking the nuclear power plant as the reference background,the authors propose a particular hide Markov model for diagnosing process with human factors.The model comprises of three assessment parts.For each part,the authors come up with specific function in order to assess human factors error probability of diagnosing process.The proposed methods are tested by experiments.From results of experiments,we can easily see that human factors error probability is precise and reliable in the model,the proposed method is more accurate than a single Weibull function,and that neural network predictive functions that are more suitable are obtained in diagnosing process.The method can be applied to human factors reliability analysis in nuclear power plant emergency.