Class UncertaintyAnalyzer

java.lang.Object

neqsim.process.util.uncertainty.UncertaintyAnalyzer

public class UncertaintyAnalyzer
extends Object

Performs uncertainty propagation analysis for process simulations.

Supports both analytical (linear) uncertainty propagation and Monte Carlo simulation for comprehensive uncertainty quantification.

Version:

1.0

Author:

ESOL

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	UncertaintyAnalyzer.InputUncertainty	Configuration for input variable uncertainty.

Field Summary

Fields

Modifier and Type	Field	Description
private final Map<String, UncertaintyAnalyzer.InputUncertainty>	inputUncertainties
private final List<String>	outputVariables
private final ProcessSystem	processSystem
private final Random	random

Constructor Summary

Constructors

Constructor	Description
UncertaintyAnalyzer(ProcessSystem processSystem)	Creates an uncertainty analyzer for a process system.

Method Summary

Modifier and Type	Method	Description
void	addInputUncertainty(String variableName, double standardDeviation)	Adds an input variable with uncertainty.
void	addInputUncertainty(UncertaintyAnalyzer.InputUncertainty uncertainty)	Adds an input variable with uncertainty and distribution type.
void	addOutputVariable(String variableName)	Adds an output variable to monitor.
UncertaintyResult	analyzeAnalytical()	Performs analytical uncertainty propagation using linear approximation.
UncertaintyResult	analyzeMonteCarlo(int samples)	Performs Monte Carlo uncertainty analysis.
private SensitivityMatrix	calculateSensitivityMatrix()	Calculates the sensitivity matrix using finite differences.
private double	getInputValue(String name)
private Map<String,Double>	getInputValues()
private double	getOutputValue(String name)
private void	perturbInputs()	Perturbs input values according to their uncertainty distributions.
private void	restoreInputs(Map<String,Double> values)
private void	setInputValue(String name, double value)
void	setRandomSeed(long seed)	Sets the random seed for reproducible Monte Carlo.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

processSystem

private final ProcessSystem processSystem

inputUncertainties

private final Map<String, UncertaintyAnalyzer.InputUncertainty> inputUncertainties

outputVariables

private final List<String> outputVariables

random

private final Random random

Constructor Details

UncertaintyAnalyzer

public UncertaintyAnalyzer(ProcessSystem processSystem)

Creates an uncertainty analyzer for a process system.

Parameters:

processSystem - the process system to analyze

Method Details

addInputUncertainty

public void addInputUncertainty(String variableName,
 double standardDeviation)

Adds an input variable with uncertainty.

Parameters:

variableName - the input variable name

standardDeviation - the standard deviation

addInputUncertainty

public void addInputUncertainty(UncertaintyAnalyzer.InputUncertainty uncertainty)

Adds an input variable with uncertainty and distribution type.

Parameters:

uncertainty - the input uncertainty configuration

addOutputVariable

public void addOutputVariable(String variableName)

Adds an output variable to monitor.

Parameters:

variableName - the output variable name (measurement device name)

analyzeAnalytical

public UncertaintyResult analyzeAnalytical()

Performs analytical uncertainty propagation using linear approximation.

Returns:

uncertainty result with bounds for all outputs

analyzeMonteCarlo

public UncertaintyResult analyzeMonteCarlo(int samples)

Performs Monte Carlo uncertainty analysis.

Parameters:

samples - number of Monte Carlo samples

Returns:

uncertainty result with bounds for all outputs

calculateSensitivityMatrix

private SensitivityMatrix calculateSensitivityMatrix()

Calculates the sensitivity matrix using finite differences.

perturbInputs

private void perturbInputs()

Perturbs input values according to their uncertainty distributions.

getInputValues

private Map<String,Double> getInputValues()

restoreInputs

private void restoreInputs(Map<String,Double> values)

getInputValue

private double getInputValue(String name)

setInputValue

private void setInputValue(String name,
 double value)

getOutputValue

private double getOutputValue(String name)

setRandomSeed

public void setRandomSeed(long seed)

Sets the random seed for reproducible Monte Carlo.

Parameters:

seed - the random seed