ReliaSoft API Reference

The Synthesis API provides a library of classes that can be used to accomplish the exact same tasks as within Synthesis, but instead through Microsoft Visual Studio allowing for a more customizable and automated solution to reliability engineering.

The Synthesis API can be used in any development environment that supports ActiveX controls, such as Microsoft’s Visual Basic, Visual C, C#, Access or Excel. The sample code and documentation in this manual have been prepared for the Microsoft Visual Studio 2010 (Visual Basic and .Net) development environment and we assume that the user is familiar with programming in that environment.

In order to use this library in a project, a reference to the ReliaSoft Synthesis API Library is required. It’s located in the folder where ReliaSoft Synthesis is installed. By default it is “C:\Program Files\ReliaSoft\Synthesis 9”.


 * .NET developers – use SynthesisAPI.dll


 * VB6 / VBA developers – use SynthesisAPI.tlb

Below is the list of classes and their methods contained in the library.

 * ALTAAnalysisOptions
 * ALTADataSet
 * ALTAEvents
 * ALTAGeneralOptions
 * ALTAStressProfile
 * BoundsValues
 * CAction
 * CCorrectiveTask
 * CCrew
 * CModel
 * Common
 * CPool
 * CScheduledTask
 * CURD
 * CVariable
 * ParamBoundsValues
 * ParamInputInfo
 * ParamValues
 * RawData
 * RawDataSet
 * Repository
 * WAPlots
 * WAPlotSettings
 * WeibullAnalysisOptions
 * WeibullAnalysisResults
 * WeibullBestFitOptions
 * WeibullDataSet
 * WeibullEvents
 * WeibullGeneralOptions

Below is a list of enumerations.

 * ALTASolverDistribution
 * ALTASolverLSR
 * ALTASolverMethod
 * ALTASolverModel
 * ConfBoundsMethods
 * ConfBoundsSides
 * ConfBoundsTypes
 * ModelCategoryEnum
 * ModelTypeEnum
 * ResetOptionEnum
 * TaskClassEnum
 * TaskFrequencyEnum
 * TaskRestorationTypeEnum
 * WAPlotType
 * WeibullBayesianPriorDistribution
 * WeibullBayesianResultsOption
 * WeibullSolverCBMethod
 * WeibullSolverDistribution
 * WeibullSolverMethod
 * WeibullSolverNumParameters
 * WeibullSolverRankMethod