User:Kate Racaza/test page2: Difference between revisions

From ReliaWiki
Jump to navigation Jump to search
No edit summary
No edit summary
Line 2: Line 2:
{{Template:API}}{{Template:BacktoPrevPage}}
{{Template:API}}{{Template:BacktoPrevPage}}


xxx
xxx use the Weibull++ engine to perform life data analysis on an external data source.


==Tutorial: Life Data Analysis==
==Tutorial: Life Data Analysis==
Line 27: Line 27:
     WDS.AddSuspension(120, 5)   
     WDS.AddSuspension(120, 5)   
   
   
   {{APIComment|'Use the 2-parameter Weibull distribution with the rank regression on X (RRX) analysis method.}}
   {{APIComment|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}
   {{APIComment|'Keep all other analysis settings at default.}}
   {{APIComment|'Keep all other analysis settings at default.}}
     WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
     WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
Line 58: Line 58:
The data set can contain failures, suspensions, interval data or free-form data. The following example shows how to use the [[WeibullDataSet.AddFailure|AddFailure]] method to define failures and the [[WeibullDataSet.AddSuspension|AddSuspension]] method to define suspensions.
The data set can contain failures, suspensions, interval data or free-form data. The following example shows how to use the [[WeibullDataSet.AddFailure|AddFailure]] method to define failures and the [[WeibullDataSet.AddSuspension|AddSuspension]] method to define suspensions.


  {{APIComment|'Add failure times to the data set.}}
{{APIComment|'Add failure times to the data set.}}
    WDS.AddFailure(16, 1)
  WDS.AddFailure(16, 1)
    WDS.AddFailure(34, 1)
  WDS.AddFailure(34, 1)
    WDS.AddFailure(53, 1)   
  WDS.AddFailure(53, 1)   
    WDS.AddFailure(75, 1)
  WDS.AddFailure(75, 1)
    WDS.AddFailure(93, 1)
  WDS.AddFailure(93, 1)
    
    
  {{APIComment|'Add five suspensions to the data set.}}
{{APIComment|'Add five suspensions to the data set.}}
    WDS.AddSuspension(120, 5)  
  WDS.AddSuspension(120, 5)  
 
The AnalysisSetting property returns a [[WeibullAnalysisOptions Class|WeibullAnalysisOptions]] object, which represents the analysis settings of the WeibullDataSet object. In the following example, we use the <code>Distribution</code>, <code>Parameters</code> and <code>Analysis</code> properties of the WeibullAnalysisOptions class to specify the life distribution and analysis method.
 
{{APIComment|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}
{{APIComment|'Keep all other analysis settings at default.}}
  WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
  WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
  WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX
 
To analyze the data set, use the [[WeibullDataSet.Calculate|Calculate]] method. The method returns a message box that shows the estimated parameters of the life distribution, based on the settings specified in the AnalysisSettings property.
 
{{APIComment|'Analyze the data set.}}
  WDS.Calculate()
 
In addition, the Calculate method creates a retrievable [[CModel Class|cModel]] object that represents the fitted model from the life 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 probability of failure (unreliability).
 
{{APIComment|'Retrieve the fitted life distribution model.}}
  {{APIPrefix|Dim}} model {{APIPrefix|As}} cModel
  model = WDS.FittedModel
{{APIComment|'Using the model, calculate the probability of failure at 226 hrs and display the result.}}
  {{APIPrefix|Dim}} r {{APIPrefix|As}} Double
  r = model.unreliability(226)
  MsgBox({{APIString|"Prob. Fail: "}} & r)
 
 
==Notes==


Next, we define the analysis settings. The  xxx
Related [[Calculate Results from a Model]]


  {{APIComment|'Use the 2-parameter Weibull distribution with the rank regression on X (RRX) analysis method.}}
===References===
  {{APIComment|'Keep all other analysis settings at default.}}
*[[WeibullDataSet Class]]
    WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
**[[WeibullDataSet.AddFailure|WeibullDataSet.AddFailure Method]]
    WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
**[[WeibullDataSet.AddSuspension| WeibullDataSet.AddSuspension Method]]
    WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX
**[[WeibullDataSet.Calculate|WeibullDataSet.Calculate Method]]
*[[WeibullAnalysisOptions Class]]
*[[CModel Class|cModel Class]]

Revision as of 19:03, 11 May 2016

DRAFT

APIWiki.png


<< Back to Tutorials Main Page

xxx use the Weibull++ engine to perform life data analysis on an external data source.

Tutorial: Life Data Analysis

The following example demonstrates how to define a Weibull++ data set, fit a life distribution to the data and obtain analysis results from the model. A discussion of the example follows.

VB.NET

Imports SynthesisAPI 

Module Module1
   Sub Main()

  'Declare a new WeibullDataSet object.  
   Dim WDS As New WeibullDataSet
  
  'Add failure times to the data set. 
   WDS.AddFailure(16, 1)
   WDS.AddFailure(34, 1)
   WDS.AddFailure(53, 1)  
   WDS.AddFailure(75, 1)
   WDS.AddFailure(93, 1)
  
  'Add five suspensions to the data set. 
   WDS.AddSuspension(120, 5)   

  'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method. 
  'Keep all other analysis settings at default. 
   WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
   WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
   WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX
 
  'Analyze the data set. 
   WDS.Calculate()
  
  'Retrieve the fitted life distribution model. 
   Dim model As cModel
   model = WDS.FittedModel

  'Using the model, calculate the probability of failure at 226 hrs and display the result. 
   Dim r As Double
   r = model.unreliability(226)
   MsgBox("Prob. Fail: " & r)

   End Sub
End Module


Discussion

The WeibullDataSet class represents a Weibull++ standard folio data sheet. The class contains all the methods and properties that allow you to define a data set and fit a statistical distribution to the data.

  'Declare a new WeibullDataSet object.  
   Dim WDS As New WeibullDataSet

The data set can contain failures, suspensions, interval data or free-form data. The following example shows how to use the AddFailure method to define failures and the AddSuspension method to define suspensions.

 'Add failure times to the data set. 
  WDS.AddFailure(16, 1)
  WDS.AddFailure(34, 1)
  WDS.AddFailure(53, 1)  
  WDS.AddFailure(75, 1)
  WDS.AddFailure(93, 1)
  
 'Add five suspensions to the data set. 
  WDS.AddSuspension(120, 5) 

The AnalysisSetting property returns a WeibullAnalysisOptions object, which represents the analysis settings of the WeibullDataSet object. In the following example, we use the Distribution, Parameters and Analysis properties of the WeibullAnalysisOptions class to specify the life distribution and analysis method.

 'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method. 
 'Keep all other analysis settings at default. 
  WDS.AnalysisSettings.Distribution = WeibullSolverDistribution.Weibull
  WDS.AnalysisSettings.Parameters = WeibullSolverNumParameters.MS_2Parameter
  WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX

To analyze the data set, use the Calculate method. The method returns a message box that shows the estimated parameters of the life distribution, based on the settings specified in the AnalysisSettings property.

 'Analyze the data set. 
  WDS.Calculate()

In addition, the Calculate method creates a retrievable cModel object that represents the fitted model from the life 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 probability of failure (unreliability).

 'Retrieve the fitted life distribution model. 
  Dim model As cModel
  model = WDS.FittedModel

 'Using the model, calculate the probability of failure at 226 hrs and display the result. 
  Dim r As Double
  r = model.unreliability(226)
  MsgBox("Prob. Fail: " & r)


Notes

Related Calculate Results from a Model

References