Talk:Perform Life Data Analysis on External Data Source/Notes - Revision history

Kate Racaza: Replaced content with '=DRAFT='

2016-09-07T00:45:29Z

Replaced content with '=DRAFT='

← Older revision		Revision as of 00:45, 7 September 2016
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	~~{{Template:API}}{{Template:BacktoPrevPage}}~~

	With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life data analysis on an external data source. In this tutorial, you will use the API to create and analyze a data set, and then obtain analysis results from the resulting model.

	~~Note that this tutorial is for demonstration purposes only; it doesn't take efficiency into account and doesn't include any exception handling.~~


	~~==Tutorial: Life Data Analysis==~~
	~~This example demonstrates how to use the Synthesis API to analyze the following data set and obtain an estimate of the probability of failure. A discussion of the example follows.~~

	~~{\|{{table}}~~
	~~\|Number in State\|\|State\|\|Time to F or S~~
	\|-
	~~\|1\|\|F\|\|16~~
	\|-
	~~\|1\|\|F\|\|34~~
	\|-
	~~\|1\|\|F\|\|53~~
	\|-
	~~\|1\|\|F\|\|75~~
	\|-
	~~\|1\|\|F\|\|93~~
	\|-
	~~\|5\|\|S\|\|120~~
	\|}

	~~'''VB.NET'''~~

	~~{{APIPrefix\|Imports}} SynthesisAPI~~

	~~{{APIPrefix\|Module}} Module1~~
	~~{{APIPrefix\|Sub}} Main()~~

	~~{{APIComment\|'Declare a new WeibullDataSet object.}}~~
	~~{{APIPrefix\|Dim}} WDS {{APIPrefix\|As New}} WeibullDataSet~~

	~~{{APIComment\|'Add the 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)~~

	~~{{APIComment\|'Add the suspensions to the data set.}}~~
	~~WDS.AddSuspension(120, 5)~~

	~~{{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~~

	~~{{APIComment\|'Analyze the data set.}}~~
	~~WDS.Calculate()~~

	~~{{APIComment\|'Calculate the probability of failure at 226 hrs and display the result.}}~~
	~~{{APIPrefix\|Dim}} r {{APIPrefix\|As}} Double~~
	~~r = WDS.FittedModel.unreliability(226)~~
	~~MsgBox({{APIString\|"Prob. Fail: "}} & r)~~

	~~{{APIPrefix\|End Sub}}~~
	~~{{APIPrefix\|End Module}}~~

	~~===Discussion===~~

	The [[WeibullDataSet Class\|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.

	~~{{APIComment\|'Declare a new WeibullDataSet object.}}~~
	~~{{APIPrefix\|Dim}} WDS {{APIPrefix\|As New}} WeibullDataSet~~

	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 the 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)~~

	~~{{APIComment\|'Add the suspensions to the data set.}}~~
	~~WDS.AddSuspension(120, 5)~~

	The <code>AnalysisSetting</code> property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set (i.e., settings that you might find in a Weibull++ folio's control panel). In this example, we use the property to change some of the attributes of the object.

	~~{{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~~

	~~Use the [[WeibullDataSet.Calculate\|Calculate]] method to analyze the data set.~~

	~~{{APIComment\|'Analyze the data set.}}~~
	~~WDS.Calculate()~~

	The <code>FittedModel</code> property gets the [[CModel Class\|cModel]] object that represents the fitted model of the life 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.Unreliability\|cModel.Unreliability]] method to calculate for the probability of failure.

	~~{{APIComment\|'Calculate the probability of failure at 226 hrs and display the result.}}~~
	~~{{APIPrefix\|Dim}} r {{APIPrefix\|As}} Double~~
	~~r = WDS.FittedModel.unreliability(226)~~
	~~MsgBox({{APIString\|"Prob. Fail: "}} & r)~~


	~~==References==~~
	*[[WeibullDataSet Class]]
	**[[WeibullDataSet.AddFailure\|WeibullDataSet.AddFailure Method]]
	**[[WeibullDataSet.AddSuspension\| WeibullDataSet.AddSuspension Method]]
	**[[WeibullDataSet.Calculate\|WeibullDataSet.Calculate Method]]
	*[[WeibullAnalysisOptions Class]]
	*[[CModel Class\|cModel Class]]
	**[[CModel.Unreliability\|cModel.Unreliability Method]]

Kate Racaza at 18:00, 17 August 2016

2016-08-17T18:00:44Z

← Older revision		Revision as of 18:00, 17 August 2016
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	WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX		WDS.AnalysisSettings.Analysis = WeibullSolverMethod.RRX

	Use the [[WeibullDataSet.Calculate\|Calculate]] method to analyze the data set~~. The method returns a message box that shows the estimated parameters of the life distribution, based on the settings specified in the <code>AnalysisSettings</code> property~~.		Use the [[WeibullDataSet.Calculate\|Calculate]] method to analyze the data set.

	{{APIComment\|'Analyze the data set.}}		{{APIComment\|'Analyze the data set.}}
	WDS.Calculate()		WDS.Calculate()

	The <code>FittedModel</code> property gets a [[CModel Class\|cModel]] object that represents the fitted model of the life 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.Unreliability\|cModel.Unreliability]] method to calculate for the probability of failure.		The <code>FittedModel</code> property gets the [[CModel Class\|cModel]] object that represents the fitted model of the life 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.Unreliability\|cModel.Unreliability]] method to calculate for the probability of failure.

	{{APIComment\|'Calculate the probability of failure at 226 hrs and display the result.}}		{{APIComment\|'Calculate the probability of failure at 226 hrs and display the result.}}

Kate Racaza at 22:39, 23 June 2016

2016-06-23T22:39:40Z

← Older revision		Revision as of 22:39, 23 June 2016
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	With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life data analysis on an external data source. In this tutorial, you will use the API to create and analyze a data set, and then obtain analysis results from the resulting model.		With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life data analysis on an external data source. In this tutorial, you will use the API to create and analyze a data set, and then obtain analysis results from the resulting model.

			Note that this tutorial is for demonstration purposes only; it doesn't take efficiency into account and doesn't include any exception handling.

Kate Racaza at 14:58, 15 June 2016

2016-06-15T14:58:31Z

← Older revision		Revision as of 14:58, 15 June 2016
Line 80:		Line 80:
	WDS.AddSuspension(120, 5)		WDS.AddSuspension(120, 5)

	The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set (i.e., settings that you might find in a Weibull++ folio's control panel). In this example, we use the property to change some of the attributes of the object.		The <code>AnalysisSetting</code> property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set (i.e., settings that you might find in a Weibull++ folio's control panel). In this example, we use the property to change some of the attributes of the object.

	{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}		{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}

Kate Racaza at 14:55, 15 June 2016

2016-06-15T14:55:45Z

← Older revision		Revision as of 14:55, 15 June 2016
Line 80:		Line 80:
	WDS.AddSuspension(120, 5)		WDS.AddSuspension(120, 5)

	The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set. In this example, we use the property to change some of the attributes of the object.		The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set (i.e., settings that you might find in a Weibull++ folio's control panel). In this example, we use the property to change some of the attributes of the object.

	{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}		{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}

Kate Racaza at 16:58, 27 May 2016

2016-05-27T16:58:43Z

← Older revision		Revision as of 16:58, 27 May 2016
Line 61:		Line 61:
	{{APIPrefix\|End Module}}		{{APIPrefix\|End Module}}

			===Discussion===
	==Discussion==

	The [[WeibullDataSet Class\|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.		The [[WeibullDataSet Class\|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.

Kate Racaza at 15:24, 27 May 2016

2016-05-27T15:24:55Z

← Older revision		Revision as of 15:24, 27 May 2016
Line 2:		Line 2:
	{{Template:API}}{{Template:BacktoPrevPage}}		{{Template:API}}{{Template:BacktoPrevPage}}

	With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life 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, ~~as well as~~ obtain analysis results from the resulting model.		With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life data analysis on an external data source. In this tutorial, you will use the API to create and analyze a data set, and then obtain analysis results from the resulting model.


	==Tutorial: Life Data Analysis==		==Tutorial: Life Data Analysis==
	~~The~~ example demonstrates how to use the Synthesis API to analyze the following data set and obtain an estimate of the probability of failure. A discussion of the example follows.		This example demonstrates how to use the Synthesis API to analyze the following data set and obtain an estimate of the probability of failure. A discussion of the example follows.

	{\|{{table}}		{\|{{table}}

Kate Racaza at 22:49, 19 May 2016

2016-05-19T22:49:14Z

← Older revision		Revision as of 22:49, 19 May 2016
Line 81:		Line 81:
	WDS.AddSuspension(120, 5)		WDS.AddSuspension(120, 5)

	The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set. In ~~the following~~ example, we use the property to ~~set~~ the attributes of the object.		The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set. In this example, we use the property to change some of the attributes of the object.

	{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}		{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}

Kate Racaza at 22:32, 19 May 2016

2016-05-19T22:32:05Z

← Older revision		Revision as of 22:32, 19 May 2016
Line 2:		Line 2:
	{{Template:API}}{{Template:BacktoPrevPage}}		{{Template:API}}{{Template:BacktoPrevPage}}

	With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life 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~~ obtain analysis results from the resulting model.		With the Synthesis API, you can leverage the Weibull++ analysis engine to perform life 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, as well as obtain analysis results from the resulting model.

Kate Racaza at 22:30, 19 May 2016

2016-05-19T22:30:31Z

← Older revision		Revision as of 22:30, 19 May 2016
Line 81:		Line 81:
	WDS.AddSuspension(120, 5)		WDS.AddSuspension(120, 5)

	The AnalysisSetting property ~~sets the properties of~~ the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set. In the following example, we set the ~~<code>Distribution</code>, <code>Parameters</code> and <code>Analysis</code> properties~~ of the object ~~to specify the life distribution and analysis method~~.		The AnalysisSetting property stores a reference to the [[WeibullAnalysisOptions Class\|WeibullAnalysisOptions]] object, which represents the analysis settings of the data set. In the following example, we use the property to set the attributes of the object.

	{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}		{{APIComment\|'Use the 2-parameter Weibull distribution and the rank regression on X (RRX) analysis method.}}