onlinerisk {bnRep} | R Documentation |
onlinerisk Bayesian Network
Description
Online risk modeling of autonomous marine systems: Case study of autonomous operations under sea ice.
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);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
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.