onlinerisk: onlinerisk Bayesian Network

Description

Online risk modeling of autonomous marine systems: Case study of autonomous operations under sea ice.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A discrete Bayesian network to develop online risk models for an autonomous marine system. Probabilities were given in an associated GitHub repository. The vertices are:

Acoustic_Link_Quality: (Acceptable, Unacceptable);
Acoustic_Link_Quality_buoy: (Acceptable, Unacceptable);
Altitude_of_AUV: (High, Medium, Low);
Control_algorith_is_flawed: (Acceptable, Unacceptable);
Copy_2_of_Control_algorith_is_flawed: (Acceptable, Unacceptable);
Copy_2_SoftwareFailure: (Yes, No);
Copy_of_Air_temperature: (Yes, No);
Copy_of_Control_algorith_is_flawed: (Acceptable, Unacceptable);
Copy_of_Environmental_constraint: (High, Medium, Low);
Copy_of_Flawed_algorithm: (Acceptable, Unacceptable);
Copy_of_Operator_effectiveness: (High, Medium, Low);
Copy_of_Research_vessel_effectiveness: (High, Medium, Low);
Copy_of_RIF2Waypoint: (Yes, No);
Copy_of_Salvage: (Yes, No);
Copy_of_SoftwareFailure: (Yes, No);
Copy_of_Strong_wind: (Yes, No);
Copy_of_Training_level: (High, Medium, Low);
Copy_of_Weather_condition: (Good, Poor);
Copy_RIF5: (Yes, No);
Current_speed: (High, Medium, Low);
Depth_of_AUV: (High, Medium, Low);
Difficulty_of_AUV_salvage: (High, Medium, Low);
Difficulty_of_salvage_operation: (High, Medium, Low);
Difficulty_to_pinpoint_the_vehicle: (High, Medium, Low);
Dist_to_home: (High, Medium, Low);
Environmental_complexity: (High, Medium, Low);
Failure_of_ADCP_DVL: (Acceptable, Unacceptable);
Failure_of_CTD_sensor: (Acceptable, Unacceptable);
Failure_of_IMU_module: (Acceptable, Unacceptable);
Failure_of_temperature_sensor: (Acceptable, Unacceptable);
Fins: (Reliable, Failure);
Flawed_algorithm_of_waypoint_generation: (Acceptable, Unacceptable);
GNSS_accuracy: (Acceptable, Unacceptable);
H1: (Yes, No);
H2: (Yes, No);
H5: (Yes, No);
H6: (Yes, No);
H7: (Yes, No);
Ice_concentration: (High, Medium, Low);
Ice_Environment: (Good, Poor);
Ice_Ruggnes: (High, Medium, Low);
Ice_thickness: (High, Medium, Low);
Improper_handling_of_navigation_errors: (Yes, No);
InaccurateWaypoint: (Yes, No);
Loss_of_AUV: (Loss, Damage, No);
Loss_of_mission: (Yes, No);
Multipath_From_Ice: (Good, Medium, Poor);
Position_Measurement_Quality: (Yes, No);
Power_capacity: (High, Medium, Low);
Power_system: (Yes, No);
Propulsion_system_fails_to_provide_necessary_motion: (Yes, No);
Range_to_buoy: (Long, Medium, Close);
Reliability_GPS_Module: (Reliable, Failure);
Reliability_of_acoustic_module_in_AUV: (Reliable, Failure);
Reliability_of_the_propulsion_system: (Reliable, Failure);
ReliabilityAcousticNavigation: (Reliable, Failure);
RIF_Range_Quality: (Yes, No);
RIF2Propulsion: (Yes, No);
RIF2Waypoint: (Yes, No);
RIF3: (Yes, No);
RIF3Collision: (Yes, No);
RIF3Inaccurate: (Yes, No);
RIF4: (Yes, No);
RIF5: (Yes, No);
RSSI_commu: (Acceptable, Unacceptable);
RSSI_ranging: (Acceptable, Unacceptable);
SIL_commu: (Acceptable, Unacceptable);
SIL_ranging: (Acceptable, Unacceptable);
SoftwareFailure: (Yes, No);
Speed_of_AUV: (High, Medium, Low);
Steering_system_fails_to_provide_necessary_motion: (Yes, No);
Time_left_to_salvage_the_vehicle_if_it_losts: (Plenty, Enough, Not Enough);
Tool_effectiveness: (High, Medium, Low);
UCA17_N_1: (Yes, No);
UCA17_P_1: (Yes, No);
UCA18_N_1: (Yes, No);
UCA18_P_1: (Yes, No);
UCA5_P_1: (Yes, No);
UCA6_N_1: (Yes, No);
UCA6_N_2: (Yes, No);
UCA6_N_3: (Yes, No);
Vessel_constraint: (High, Medium, Low);
Visibility: (High, Medium, Low);
Water_Environment: (Good, Poor);

References

Yang, R., Bremnes, J. E., & Utne, I. B. (2023). Online risk modeling of autonomous marine systems: case study of autonomous operations under sea ice. Ocean Engineering, 281, 114765.