riso.belief_nets.BeliefNetwork mair
{
	% air mass flow rate entering heating coil
	riso.belief_nets.Variable status
	{
		type discrete { "OK" "not OK" }
		distribution riso.distributions.Discrete
		{
			dimensions { 2 }
			probabilities { 0.99 0.01 }
		}
	}

	riso.belief_nets.Variable actual			%Klbm/hr
	{
		distribution riso.distributions.Gaussian { mean 90.0 std-deviation 10.0 }
	}
	
	riso.belief_nets.Variable measured
	{
		parents { status actual }
		distribution riso.distributions.IndexedDistribution
		{
			index-variables { status } 
			components
			{
				riso.distributions.ConditionalGaussian { conditional-variance { 5.0 } }		%Klbm/hr
				
				riso.distributions.Gaussian { mean -49 std-deviation 1 }
			}
		}
	}
}

riso.belief_nets.BeliefNetwork mw
{
	% water mass flow rate entering heating coil
	riso.belief_nets.Variable status
	{
		type discrete { "OK" "not OK" }
		distribution riso.distributions.Discrete
		{
			dimensions { 2 }
			probabilities { 0.99 0.01 }
		}
	}

	riso.belief_nets.Variable actual			%Klbm/hr
	{
		distribution riso.distributions.Gaussian { mean 10.0 std-deviation 1.0 }
	}
	
	riso.belief_nets.Variable measured
	{
		parents { status actual }
		distribution riso.distributions.IndexedDistribution
		{
			index-variables { status } 
			components
			{
				riso.distributions.ConditionalGaussian { conditional-variance { 0.1 } }	%Klbm/hr
				
				riso.distributions.Gaussian { mean -49 std-deviation 1 }
			}
		}
	}
}

riso.belief_nets.BeliefNetwork Tdbent
{
	% air temperature entering heating coil
	riso.belief_nets.Variable status
	{
		type discrete { "OK" "not OK" }
		distribution riso.distributions.Discrete
		{
			dimensions { 2 }
			probabilities { 0.99 0.01 }
		}
	}

	riso.belief_nets.Variable actual
	{
		distribution riso.distributions.Gaussian { mean 90 std-deviation 20 }
	}
	
	riso.belief_nets.Variable measured
	{
		parents { status actual }
		distribution riso.distributions.IndexedDistribution
		{
			index-variables { status } 
			components
			{
				riso.distributions.ConditionalGaussian { conditional-variance { 5.0 } }
				
				riso.distributions.Gaussian { mean -49 std-deviation 1 }
			}
		}
	}
}

riso.belief_nets.BeliefNetwork Tw
{
	% water temperature entering heating coil
	riso.belief_nets.Variable status
	{
		type discrete { "OK" "not OK" }
		distribution riso.distributions.Discrete
		{
			dimensions { 2 }
			probabilities { 0.99 0.01 }
		}
	}

	riso.belief_nets.Variable actual
	{
		distribution riso.distributions.Gaussian { mean 180 std-deviation 10.0 }
	}
	
	riso.belief_nets.Variable measured
	{
		parents { status actual }
		distribution riso.distributions.IndexedDistribution
		{
			index-variables { status } 
			components
			{
				riso.distributions.ConditionalGaussian { conditional-variance { 5.0 } }
				
				riso.distributions.Gaussian { mean -49 std-deviation 1 }
			}
		}
	}
}


riso.belief_nets.BeliefNetwork Tdblvg
{
	riso.belief_nets.Variable Cpair
	{
		distribution riso.distributions.GaussianDelta { support-point { 0.24 } }       	%KBTU/Klbm-F
	}

	riso.belief_nets.Variable Cpw
	{
		distribution riso.distributions.GaussianDelta { support-point { 1.0 } }       	%KBTU/Klbm-F
	}
	
	riso.belief_nets.Variable UA
	{
		distribution riso.distributions.GaussianDelta { support-point { 20.0 } }       	%KBTU/Klbm-F
	}

	riso.belief_nets.Variable nominal
	{
		parents { Tdbent.actual Tw.actual mair.actual Cpair mw.actual Cpw UA }
		distribution riso.distributions.RegressionDensity
		{
			regression-model refrigerant.TCalc_normal { }
			noise-model riso.distributions.Gaussian { mean 0 std-deviation 1 }
		}
	}

	riso.belief_nets.Variable multiplier
	{
		distribution riso.distributions.Truncated 0.001 4 riso.distributions.Gaussian { mean 0 std-deviation 1 }
	}

	riso.belief_nets.Variable actual
	{
		parents { nominal multiplier }
		distribution riso.distributions.Product { }
	}

	riso.belief_nets.Variable status
	{
		type discrete { "OK" "not OK" }
		distribution riso.distributions.Discrete
		{
			dimensions { 2 }
			probabilities { 0.99 0.01 }
		}
	}

	riso.belief_nets.Variable measured
	{
		parents { status actual }
		distribution riso.distributions.IndexedDistribution
		{
			index-variables { status } 
			components
			{
				riso.distributions.ConditionalGaussian { conditional-variance { 5.0 } }
				
				riso.distributions.Gaussian { mean -49 std-deviation 1 }
			}
		}
	}
}