public static Fault ReadFault(BinaryReader reader)
{
var name = reader.ReadString();
var type = reader.ReadInt32();
var identifier = reader.ReadInt32();
var probabilityValue = reader.ReadDouble();
Fault fault;
if (type == 1)
{
fault = new TransientFault();
}
else if (type == 2)
{
fault = new PermanentFault();
}
else
{
throw new Exception("Not implemented yet");
}
fault.Name = name;
fault.Identifier = identifier;
// ReSharper disable once CompareOfFloatsByEqualityOperator
fault.ProbabilityOfOccurrence =
probabilityValue == -1.0 ? null : (Probability?)new Probability(probabilityValue);
return(fault);
}
public DeadReckoningComponent()
{
FF = new TransientFault();
FF.ProbabilityOfOccurrence = new Probability(0.4);
FC = new TransientFault();
FC.ProbabilityOfOccurrence = new Probability(0.01);
FS = new PermanentFault();
FS.ProbabilityOfOccurrence = new Probability(0.05);
}
public void Parametric()
{
Formula invariant = new LustrePressureBelowThreshold();
Formula hazard = new UnaryFormula(invariant, UnaryOperator.Not);
LustrePressureBelowThreshold.threshold = 60;
var faultK1 = new PermanentFault()
{
Name = "fault_k1", Identifier = 1, ProbabilityOfOccurrence = new Probability(3.0E-6)
};
var faultK2 = new PermanentFault()
{
Name = "fault_k2", Identifier = 2, ProbabilityOfOccurrence = new Probability(3.0E-6)
};
var faultSensor = new PermanentFault()
{
Name = "fault_sensor", Identifier = 4, ProbabilityOfOccurrence = new Probability(1.0E-5)
};
var faults = new[] { faultK1, faultK2, faultSensor };
var parameter = new QuantitativeParametricAnalysisParameter
{
StateFormula = hazard,
Bound = null,
From = 3.0E-7,
To = 3.0E-5,
Steps = 25,
};
using (var fileWriter = new StreamWriter(Path.Combine(AssemblyDirectory, "pressureTank_varyK1.csv"), append: false))
{
parameter.UpdateParameterInModel = value => { faultK1.ProbabilityOfOccurrence = new Probability(value); };
var result = LustreModelChecker.ConductQuantitativeParametricAnalysis(Path.Combine(AssemblyDirectory, "pressureTank.lus"), "TANK", faults, parameter);
result.ToCsv(fileWriter);
}
using (var fileWriter = new StreamWriter(Path.Combine(AssemblyDirectory, "pressureTank_varyK2.csv"), append: false))
{
parameter.UpdateParameterInModel = value => { faultK2.ProbabilityOfOccurrence = new Probability(value); };
var result = LustreModelChecker.ConductQuantitativeParametricAnalysis(Path.Combine(AssemblyDirectory, "pressureTank.lus"), "TANK", faults, parameter);
result.ToCsv(fileWriter);
}
using (var fileWriter = new StreamWriter(Path.Combine(AssemblyDirectory, "pressureTank_varySensor.csv"), append: false))
{
parameter.UpdateParameterInModel = value => { faultSensor.ProbabilityOfOccurrence = new Probability(value); };
var result = LustreModelChecker.ConductQuantitativeParametricAnalysis(Path.Combine(AssemblyDirectory, "pressureTank.lus"), "TANK", faults, parameter);
result.ToCsv(fileWriter);
}
}
public EvaluationTests()
{
LustrePressureBelowThreshold.threshold = 60;
var faultK1 = new PermanentFault()
{
Name = "fault_k1", Identifier = 1, ProbabilityOfOccurrence = new Probability(3.0E-6)
};
var faultK2 = new PermanentFault()
{
Name = "fault_k2", Identifier = 2, ProbabilityOfOccurrence = new Probability(3.0E-6)
};
var faultSensor = new PermanentFault()
{
Name = "fault_sensor", Identifier = 4, ProbabilityOfOccurrence = new Probability(1.0E-5)
};
_faults = new[] { faultK1, faultK2, faultSensor };
_createModel = LustreExecutableModel.CreateExecutedModelFromFormulasCreator(Path.Combine(AssemblyDirectory, "pressureTank.lus"), "TANK", _faults);
}
