The continuous research and initiative projects developments have resulted in new types of systems, with increased components number and implementing new functionalities, such as those on autonomous ships. The increased complexity introduces new hazards since it obscures the human operator on ships or in shore control centre in case of autonomous ships, as she/he has to comprehend an increased number of system parameters, often in limited time during critical operations. In addition, the human operator may not be aware of critical situation arising in the system due to component failure, which may lead to accident. The aim of this research thus is to enhance the safety of maritime complex systems operations by integrating the existing safety models with system information available from sensors. For this purpose, a previously developed Fault Tree model of Blackout in a cruise ship is employed and suitably adjusted. Then, the safety related parameters and information that can be already monitored are integrated with the Blackout Fault Tree to estimate the Blackout Probability in time, accounting for the new available information. The suggested concept is validated within the Matlab/Simulink Environment. The benefits of this approach is that it integrates a number of sensor measurements and alarms in one metric and applies dynamic components criticality assessment, reducing operator cognitive load, allowing the human operator to react faster to arising hazardous situations and preventing them from developing further in accidents.