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{{Template:API}}{{Template:BacktoPrevPage}}
With the Synthesis API, you can leverage the ALTA analysis engine to perform accelerated life testing data analysis on an external data source. In this tutorial, you will learn how to use the API to create and analyze a data set, and then estimate the probability of failure.
==Tutorial: Accelerated Life Testing Data Analysis - Single Stress==
The following example demonstrates how to define an ALTA data set and obtain analysis results from a single stress model. A discussion of the example follows.
The following table shows the data set for this example.
{|{{table}}
|Number in State||State||Time to F or S||Temperature
|-
|1||F||245||353
|-
|5||S||250||353
|-
|1||F||110||373
|-
|1||F||180||373
|-
|1||F||200||373
|-
|3||S||250||373
|-
|1||F||50||393
|-
|1||F||70||393
|-
|1||F||88||393
|-
|1||F||112||393
|-
|1||F||140||393
|-
|1||F||160||393
|}
'''VB.NET'''
{{APIPrefix|Imports}} SynthesisAPI
{{APIPrefix|Module}} Module1
    {{APIPrefix|Sub}} Main()
  {{APIComment|'Declare a new ALTADataSet object.}}
    {{APIPrefix|Dim}} ADS {{APIPrefix|As New}} ALTADataSet
  {{APIComment|'Define a stress type with use stress level = 300.}}
    ADS.AddStressDefinition({{APIString|"Stress1"}},,300)
  {{APIComment|'Add failure times to the data set.}}
    ADS.AddFailure(245, 1, 353)
    ADS.AddFailure(110, 1, 373)
    ADS.AddFailure(180, 1, 373) 
    ADS.AddFailure(200, 1, 373)
    ADS.AddFailure(50, 1, 393)
    ADS.AddFailure(70, 1, 393)
    ADS.AddFailure(88, 1, 393)
    ADS.AddFailure(112, 1, 393)
    ADS.AddFailure(140, 1, 393)
    ADS.AddFailure(160, 1, 393)
   
  {{APIComment|'Add suspensions to the data set.}}
    ADS.AddSuspension(250, 5, 353) 
    ADS.AddSuspension(250, 3, 373)
 
  {{APIComment|'Use the Arrhenius-Weibull model to analyze the data set.}}
  {{APIComment|'Keep all other analysis settings at default.}}
    ADS.AnalysisSettings.ModelType = ALTASolverModel.Arrhenius
    ADS.AnalysisSettings.Distribution = ALTASolverDistribution.Weibull
 
  {{APIComment|'Analyze the data set.}}
    ADS.Calculate()
  {{APIComment|'Calculate the B10 life and display the result.}}
    {{APIPrefix|Dim}} r {{APIPrefix|As}} Double
    r = ADS.FittedModel.Time(.90)
    MsgBox({{APIString|"B10 Life: "}} & r)
    {{APIPrefix|End Sub}}
{{APIPrefix|End Module}}
==Discussion==
The [[ALTADataSet Class|ALTADataSet]] class represents an ALTA standard folio data sheet. The class contains all the methods and properties that allow you to define a data set and fit a life-stress relationship and distribution to the data.
{{APIComment|'Declare a new ALTADataSet object.}}
  {{APIPrefix|Dim}} ADS {{APIPrefix|As New}} ALTADataSet
The data set can contain failures, suspensions or interval data. The following example shows how to use the [[ALTADataSet.AddFailure|AddFailure]] method to define failures and the [[ALTADataSet.AddSuspension|AddSuspension]] method to define suspensions.
{{APIComment|'Add failure times to the data set.}}
  ADS.AddFailure(245, 1, 353)
  ADS.AddFailure(110, 1, 373)
  ADS.AddFailure(180, 1, 373) 
  ADS.AddFailure(200, 1, 373)
  ADS.AddFailure(50, 1, 393)
  ADS.AddFailure(70, 1, 393)
  ADS.AddFailure(88, 1, 393)
  ADS.AddFailure(112, 1, 393)
  ADS.AddFailure(140, 1, 393)
  ADS.AddFailure(160, 1, 393)
   
{{APIComment|'Add suspensions to the data set.}}
  ADS.AddSuspension(250, 5, 353) 
  ADS.AddSuspension(250, 3, 373)
The AnalysisSetting property returns an [[ALTAAnalysisOptions Class|ALTAAnalysisOptions]] object, which represents the analysis settings of the ALTADataSet object. In the following example, we use the <code>ModelType</code> and <code>Distribution</code> properties of the ALTAAnalysisOptions class to specify the life-stress relationship and distribution.
{{APIComment|'Use the Arrhenius-Weibull model to analyze the data set.}}
{{APIComment|'Keep all other analysis settings at default.}}
  ADS.AnalysisSettings.ModelType = ALTASolverModel.Arrhenius
  ADS.AnalysisSettings.Distribution = ALTASolverDistribution.Weibull
To analyze the data set, use the [[ALTADataSet.Calculate|Calculate]] method. The method returns a message box that shows the estimated parameters of the model, based on the settings specified in the AnalysisSettings property.
{{APIComment|'Analyze the data set.}}
  ADS.Calculate()
The FittedModel property gets a [[CModel Class|cModel]] object that represents the fitted model of the accelerated life testing data analysis. From the model, you can calculate useful metrics such as reliability, failure rate, mean time, etc. In this example, we calculate for the B10 life.
  {{APIComment|'Calculate the B10 life and display the result.}}
    {{APIPrefix|Dim}} r {{APIPrefix|As}} Double
    r = ADS.FittedModel.Time(.90)
    MsgBox({{APIString|"B10 Life: "}} & r)
==Notes==
For a two-stressTo analyze results for a
===References===
*[[ALTADataSet Class]]
*[[ALTADataSet.AddFailure|ALTADataSet.AddFailure Method]]
*[[ALTADataSet.AddSuspension| ALTADataSet.AddSuspension Method]]
*[[ALTADataSet.Calculate|ALTADataSet.Calculate Method]]
*[[ALTAAnalysisOptions Class]]
*[[CModel Class|cModel Class]]

Latest revision as of 15:37, 7 September 2016

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