All Classes (jreliability v2.0 API)

All Classes Interface Summary Class Summary Enum Summary
Class	Description
ABGT<T>	The `ABGT` class calculates the ABGT importance for coherent and non-coherent systems proposed by [ABGT17].
AbstractAspect	The `AbstractAspect` is the basic class for all `Aspect`s.
AbstractHierarchicalTerm	The `AbstractHierarchicalTerm` is the basic class for `TermUtils` that consist of other `TermUtils`.
ANDTerm	The `ANDTerm` is a `Term` that interrelates its embedded `TermUtils` with the AND operator}.
Aspect	The `Aspect` allows to determine the `y-value` for the `ReliabilityFunction` `y = R(x)` under the current `Aspect`.
BAGT<T>	The `BAGT` class calculates the time-independent importance of components proposed by [BAGT16].
BAGT.Variant
BarlowProschan<T>	The `BarlowProschan` class calculates the time-independent importance for coherent systems proposed by Barlow and Proschan in [BP75].
BDD<T>	The `BDD` is an interface containing the very basic functionality of a `BDD`.
BDDProvider<T>	The `BDDProvider` provides the actual `BDD`s for each component.
BDDProviderFactory	The `BDDProviderFactory` creates `BDDProvider`s.
BDDReliabilityFunction<T>	The `BDDReliabilityFunction` represents the `ReliabilityFunction` that is inherently included in a `BDD`.
BDDs	The `BDDs` contains common reliabilityFunctions for/on `BDD`s.
BDDTopEvent<T>	The `BDDTopEvent` allows the fast calculation of the top event for a given `BDD`.
BDDTTRF<T>	The `BDDTTRF` transforms a Boolean function represented as a `Term` into a `ReliabilityFunction` or, if needed, into a `BDD`.
BDDTTRFSimulative<T>	The `BDDTTRFSimulative` performs a Monte-Carlo simulation to determine the `ReliabilityFunction` based on a `BDD` representation of the system structure.
Birnbaum<T>	The `Birnbaum` class calculates the Birnbaum Importance for coherent systems.
BirnbaumAB<T>	The `BirnbaumAB` class calculates the Andrews Beeson extension of the Birnbaum importance for coherent and non-coherent systems by [AB03].
Boiler	The `Boiler` models a boiler that is responsible for keeping the water in a tank at the desired temperature and pumping it to a destination if needed.
BoilerComponent	The abstract `BoilerComponent` is the basic class that models each of the components used in the model of the `Boiler`.
BoilerTester	The `BoilerTester` performs some common actions that are done with a modeled system.
BoilerTransformer	The `BoilerTransformer` provides a `ReliabilityFunction` for each `BoilerComponent` in the `Boiler`.
BridgeSystem	Implements a coherent bridge system with two paths 1 2 and 3 4 and the bridge 5.
ConstantFailureFunction	The `ConstantFailureFunction` returns a constant failure probability for which it must hold that `0 =< failure probability =< 1`.
ConstantReliabilityFunction	The `ConstantReliabilityFunction` returns a constant success probability for which it must hold that `0 =< failure probability =< 1`.
ConstraintTester	The `ConstraintTester` can be used to test the `BDDTTRF.convertToBDD(Term)` function.
Controller	The `Controller` models a controlling component that is used for activating the pumps and controlling the water temperature.
CriticalityBDDs<T>	The `CriticalityBDDs` class is a wrapper class to encapsulate the failure and repair criticality `BDD`s of a component.
CriticalityCalculator<T>	The `CriticalityCalculator` is a utility class used to calculate the `CriticalityValues` and `CriticalityBDDs` of the components of a system.
CriticalityValues	The `CriticalityValues` class is a wrapper class to encapsulate the failure and repair criticality values of a component.
DensityAspect	The `DensityAspect` represents the density of a `ReliabilityFunction`.
DensityFunction	The `DensityFunction` determines the density `f(x)` of a `Function` `F(x)`.
Evaluator	The `Evaluator` is a marker interface for all evaluators.
ExponentialFailureFunction	The `ExponentialFailureFunction` represents the exponential behavior of cumulative failure probability `F(x) = 1 - e^-(alpha * x)` of a failure caused with a fixed rate/probability of occurrence `alpha > 0`.
ExponentialReliabilityFunction	The `ExponentialReliabilityFunction` represents the exponential `ReliabilityFunction` `R(x) = 1 - F(x) = e^-(alpha * x)` with `alpha > 0`.
Failure<T>	The `Failure` represents the occurrence of a failure of an object and delivers the time of the failure as the information.
FailureRate	The `FailureRate` determines the failure rate `lambda` of a given `ReliabilityFunction` and is defined as
FailureRateAspect	The `FailureRateAspect` represents the `FailureRate` of a given `ReliabilityFunction`.
FALSETerm	The `FALSETerm` corresponds to the logical `FALSE` or `0`.
Function	The `Function` represents a mathematical function `y = f(x)`.
Heater	The `Heater` models an actor component of the boiler that is responsible for increasing the water temperature.
HjorthReliabilityFunction	The `HjorthReliabilityFunction` represents the Hjorth `ReliabilityFunction`
ImportanceMeasure	The `ImportanceMeasure` is used to assign a importance value to each variable of the system.
IntegralEvaluator	The `IntegralEvaluator` determines the integral of a `Function` using Romberg's method.
InverseEvaluator	The `InverseEvaluator` calculates the `x` value in `y = R(x)` for a given `y` of the `ReliabilityFunction` `R(t)`.
InverseFunction	The `InverseFunction` determines the inverse reliability `R^-1(x)`.
JBDD<T>	The `JBDD` is a `BDD` based on the JavaBDD standard java implementation.
JBDDProvider<T>	The `JBDDProvider` used to get `JBDD` BDDs.
JBDDProviderFactory	The `JBDDProviderFactory` is a `BDDProviderFactory` for the JavaBDD library.
JBDDProviderFactory.Type	The `JBDDProviderFactory.Type` of real `BDD` implementation.
LinearTerm	The `LinearTerm` represents a linear constraint of the form: `left-hand-side comparator right-hand-side`.
LinearTerm.Comparator	The `LinearTerm.Comparator` determines the comparator in the `LinearTerm`, i.e.
LiteralTerm<T>	The `LiteralTerm` represents a literal, i.e.
LognormalReliabilityFunction	The `LognormalReliabilityFunction` represents the lognormal `ReliabilityFunction`
MeasuresPanel	The `MeasuresPanel` collects a `MeasuresPanel.MeasurePanel` for each `ReliabilityFunction` that shall be shown in the GUI and adds them to a `JTabbedPane`.
MeasuresPanel.MeasurePanel	The `MeasuresPanel.MeasurePanel` shows some common reliability-related measures that are derived from the `ReliabilityFunction`s.
MemoryLeakTest	The `MemoryLeakTest`.
MomentEvaluator	The `MomentEvaluator` determines the `n`-th moment of a density function `f(x)` given a `ReliabilityFunction` `R(x)`. `E(X^n) = integral_0^infinity x^n f(x) dx`.
NMWDReliabilityFunction	The `NMWDReliabilityFunction` represents the NMWD `ReliabilityFunction` based on the `WeibullReliabilityFunction` with a third parameter:
NormalReliabilityFunction	The `NormalReliabilityFunction` represents the normal `ReliabilityFunction`
NOTTerm	The `NOTTerm` is used to model Boolean negation by embedding a `Term` that shall be negated in a `NOTTerm`.
Occurrence<T>	The `Occurrence` represents an occurrence or event, e.g., the failure or repair of an object at a given time.
ORTerm	The `ORTerm` is a `Term` that interrelates its embedded `TermUtils` with the OR operator. `(OR term1 ... termN)`
ParallelReliabilityFunction	The `ParallelReliabilityFunction` corresponds to a parallel-structure of elements in a system as known from Serial-Parallel systems.
PlotDataForImportanceMeasuresCreator	This file is used to create importance measure data in order to plot and compare them to the results and graphs in [Ali17].
Pump	The `Pump` models a pump that is used to pump water from the `Boiler` to its destination.
RAW<T>	The `RAW` class calculates the RAW values for coherent and non-coherent systems.
ReliabilityFunction	The `ReliabilityFunction` represents a reliability or survival function `R(x)` that is commonly defined as `R(x) = 1 - F(x)`, with `F(x)` being a `UnreliabilityFunction` `F(x)`.
ReliabilityFunctionAspect	The `ReliabilityFunctionAspect` plots the `ReliabilityFunction` itself.
ReliabilityFunctionPlotPanel	The `ReliabilityFunctionPlotPanel` is a basic GUI to visualize the reliability `Aspect`s for given `ReliabilityFunction`s.
ReliabilityFunctionSet	The `ReliabilityFunctionSet` is the basic class for functions defined over a set of `ReliabilityFunction`s.
ReliabilityTester	The `ReliabilityTester` is a basic tester that uses the `TestExample` to launch the `ReliabilityViewer`.
ReliabilityViewer	The `ReliabilityViewer` is a basic GUI that shows the `MeasuresPanel` and the `ReliabilityFunctionPlotPanel`.
RRW<T>	The `RRW` class calculates the RRW values for coherent and non-coherent systems.
SampleCollector	The `SampleCollector` is used to generate the `Samples` of a set of `ReliabilityFunction` under a given `Aspect`.
SampledReliabilityFunction	The `SampledReliabilityFunction` approximates a `ReliabilityFunction` from a set of Samples.
Samples	The `Samples` contains all the sample values derived by the analysis.
Sensor	The `Sensor` models a sensor component in the boiler that measures and collects the data of the water temperature.
SequentialFunction	The `SequentialFunction` is an abstract implementation for all `Function`s that will calculate `y` values sequentially in case a list of `x` values is given.
SerialReliabilityFunction	The `SerialReliabilityFunction` corresponds to a serial-structure of elements in a system as known from Serial-Parallel systems.
SeriesParallelSystem	Implements a series parallel system where component 3 is in series to 1\|\|2.
SimpleFunctionTransformer<T>	The `SimpleFunctionTransformer` is a basic implementation of a function `Transformer`.
SL<T>	The `SL` uses the concept of stochastic logic [A] to evaluate a given `Term`.
SLReliabilityFunction<T>	The `SLReliabilityFunction` represents the `ReliabilityFunction` using stochastic logic as implemented by `SL`.
SumReliabilityFunction	The `SumReliabilityFunction` determines the sum of the specified set of `ReliabilityFunction`s.
TCNCSystem	Implements a time-consistent non-coherent system with exponential failure rates.
Term	The `Term` represents a mathematical `Term` in a `Function`.
TermUtils	The `TermUtils` provides static methods for the `Term` class.
TermUtils.ParseString	The `TermUtils.ParseString` is a helper class to parse a helper `Object` from a given `String`.
TestExample	The `TestExample` is a play example.
TestExponentialTransformer	The `TestExponentialTransformer` is a `Transformer` for the `TestExample` that uses `ExponentialReliabilityFunction` as `ReliabilityFunction`s.
TestWeibullTransformer	The `TestWeibullTransformer` is a `Transformer` for the `TestExample` that uses `WeibullReliabilityFunction`s as `ReliabilityFunction`s.
TimeDependentImportanceMeasure<T>	The `TimeDependentImportanceMeasure` is used to assign a importance measure value to each variable T of the system at a specific time t.
TINCSystem	Implements a time-inconsistent non-coherent system with exponential failure rates.
TMR	Implements a 2-out-of-3 majority voter system, also known as Triple Modular Redundancy.
TMR	The `TMR` models a 2-out-of-3 majority voter commonly known as Triple Modular Redundancy.
TMRTester	The `TMRTester` performs some common actions that are done with a modeled system.
TRUETerm	The `TRUETerm` corresponds to the logical `TRUE` or `1`.
TTRF<T>	The `TTRF` converts a `Term` to a `ReliabilityFunction`.
UnreliabilityFunction	The `UnreliabilityFunction` determines the `UnreliabilityFunction` `F(x)` of a given `ReliabilityFunction` `R(x)` as
UnreliabilityFunctionAspect	The `UnreliabilityFunctionAspect` represents the `UnreliabilityFunction` of a `ReliabilityFunction`.
Vaurio<T>	The `Vaurio` class calculates the Vaurio Importance for non-coherent systems proposed by [Vau16].
WeibullReliabilityFunction	The `WeibullReliabilityFunction` represents the 2-parameter Weibull reliability function