public McsRandomVariable(MinimalCriticalSet reference, ICollection <FaultRandomVariable> faultVariables, Probability[] probability, string name = null)
{
Reference = reference;
Probability = probability;
FaultVariables = new HashSet <FaultRandomVariable>(faultVariables);
Name = name ?? reference.ToString();
}
/// <summary>
/// Executes a DCCA and returns a list of McsRandomVariables that represent the DCCA results limited by the given faults.
/// A minimal critical set which contains faults that are not in the given list of faults will be ignored.
/// An empty minimal critical set will not be created as a random variable because it would not make sense regarding the probability theory.
/// </summary>
public IList <McsRandomVariable> FromDccaLimitedByFaults(Func <bool> hazard, ICollection <FaultRandomVariable> faults)
{
var analysis = new SafetySharpSafetyAnalysis
{
Backend = SafetyAnalysisBackend.FaultOptimizedOnTheFly,
Heuristics = { new MaximalSafeSetHeuristic(_model.Faults) }
};
var result = analysis.ComputeMinimalCriticalSets(_model, new ExecutableStateFormula(hazard));
var mcsVariables = new List <McsRandomVariable>();
// Create a random variable for every nonempty critical set
foreach (var criticalSet in result.MinimalCriticalSets.Where(set => set.Count > 0))
{
var mcs = new MinimalCriticalSet(criticalSet);
var mcsName = $"mcs_{string.Join("_", mcs.Faults.Select(fv => fv.Name))}";
var faultVariables = faults.Where(fv => mcs.Faults.Contains(fv.Reference)).ToList();
mcsVariables.Add(new McsRandomVariable(mcs, faultVariables, mcsName));
}
GC.Collect();
return(mcsVariables.Where(
criticalSet => criticalSet.FaultVariables.Count == criticalSet.Reference.Faults.Count
).ToList());
}