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#' emergency Bayesian Network
#'
#'
#' A risk evaluation method for human-machine interaction in emergencies based on multiple mental models-driven situation assessment.
#' @usage NULL
#'
#' @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:
#' \describe{
#' \item{TS}{Trim state (normal, abnormal);}
#' \item{FP}{Flap position (retracted, extended);}
#' \item{CPMS}{Cabin pressurization mode setting (automatic, manual);}
#' \item{ECFS}{Equipment cooling fan state (normal, failure);}
#' \item{TC}{Takeoff configuration (correct, wrong);}
#' \item{CP}{Cabine pressure (normal, low);}
#' \item{ECA}{Equipment cooling airflow (normal, low);}
#' \item{OMD}{Oxygen mask deployment (yes, no);}
#' \item{TSI}{Trim state indication (normal, abnormal);}
#' \item{FPI}{Flap position indication (retracted, extended);}
#' \item{CPMSI}{Cabin pressurization mode setting indication (automatic, manual);}
#' \item{ECFCBI}{Equipment cooling fan circuit break indication (on, off);}
#' \item{CAW}{Cabine altitued warning (yes, no);}
#' \item{CLPL}{Cabin low pressure light (illuminated, extinguished);}
#' \item{OMDL}{Oxygen mask deployment light (illuminated, extinguished);}
#' \item{ECOL}{Equipment cooling OFF light (illuminated, extinguished);}
#' \item{ECFOL}{Equipment cooling fan OFF light (illuminated, extinguished);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @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.
"emergency"
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