Talk:Perform Accelerated Life Testing Data Analysis on External Data Source/Notes: Difference between revisions

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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 an ALTA data set and analyze it using a single stress model.
==Tutorial: Accelerated Life Testing Data Analysis==
The following example demonstrates how to define and analyze an ALTA data set, and use the result to estimate the B10 life (i.e., time at which reliability is equal to 90%). A discussion of the example follows.
This example uses the following data set:
{|{{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
Use the [[ALTADataSet.AddStressDefinition|AddStressDefinition]] method to define the stress type and its use stress level.
{{APIComment|'Define a stress type with use stress level = 300.}}
  ADS.AddStressDefinition({{APIString|"Stress1"}},,300)
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 use the [[CModel.Time|cModel.Time]] method to calculate 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 analyses that require a two-stress model, you will need to define two stress types, and then use the overloaded methods to add the data points. For example:
{{APIComment|...}}
{{APIComment|'Define two stress types.}}
  ADS.AddStressDefinition({{APIString|"Temp"}},,328)
  ADS.AddStressDefinition({{APIString|"Voltage"}},,2)
{{APIComment|'Add failure times for Temp &#61; 348 and Voltage &#61; 3.}}
  ADS.AddFailure(620, 1, 348, 3)
  ADS.AddFailure(632, 1, 348, 3)
{{APIComment|...}}
===References===
*[[ALTADataSet Class]]
*[[ALTADataSet.AddStressDefinition|AddStressDefinition Method]]
*[[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 00:47, 7 September 2016

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