A situation awareness support system for managing abnormal situations is introduced. Both hardware failure and human failure are considered in this study. A situational network modeling process based on Bayesian networks is proposed. A situation assessment model based on fuzzy logic and risk indicators is developed. The proposed system provides adequate evidence of conformity with ALARP.
