emergency {bnRep} | R Documentation |
emergency Bayesian Network
Description
A risk evaluation method for human-machine interaction in emergencies based on multiple mental models-driven situation assessment.
Format
A discrete Bayesian network to evaluate risk in human-machine interaction in emergencies. The probabilities were given within the referenced paper. The vertices are:
- TS
Trim state (normal, abnormal);
- FP
Flap position (retracted, extended);
- CPMS
Cabin pressurization mode setting (automatic, manual);
- ECFS
Equipment cooling fan state (normal, failure);
- TC
Takeoff configuration (correct, wrong);
- CP
Cabine pressure (normal, low);
- ECA
Equipment cooling airflow (normal, low);
- OMD
Oxygen mask deployment (yes, no);
- TSI
Trim state indication (normal, abnormal);
- FPI
Flap position indication (retracted, extended);
- CPMSI
Cabin pressurization mode setting indication (automatic, manual);
- ECFCBI
Equipment cooling fan circuit break indication (on, off);
- CAW
Cabine altitued warning (yes, no);
- CLPL
Cabin low pressure light (illuminated, extinguished);
- OMDL
Oxygen mask deployment light (illuminated, extinguished);
- ECOL
Equipment cooling OFF light (illuminated, extinguished);
- ECFOL
Equipment cooling fan OFF light (illuminated, extinguished);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Guo, J., Ma, S., Zeng, S., Che, H., & Pan, X. (2024). A risk evaluation method for human-machine interaction in emergencies based on multiple mental models-driven situation assessment. Reliability Engineering & System Safety, 110444.