CModel Class: Difference between revisions
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*'''[[CModel.Parameters|Parameters]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | *'''[[CModel.Parameters|Parameters]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | ||
*'''[[CModel.Bounds Reliability|Bounds_Reliability]]''' {{APIComment|Adds a suspension interval data point to the collection of data points in the data set.}} | *'''[[CModel.Bounds Reliability|Bounds_Reliability]]''' {{APIComment|Adds a suspension interval data point to the collection of data points in the data set.}} | ||
*'''[[Bounds_Unreliability]]''' {{APIComment|Adds a free-form data point to the collection of data points in the data set.}} | *'''[[CModel.Bounds_Unreliability|Bounds_Unreliability]]''' {{APIComment|Adds a free-form data point to the collection of data points in the data set.}} | ||
*'''[[Bounds_Time]]''' {{APIComment|Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | *'''[[Bounds_Time]]''' {{APIComment|Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | ||
*'''[[Bounds_MeanTime]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | *'''[[Bounds_MeanTime]]''' {{APIComment|Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.}} | ||
Revision as of 21:02, 17 September 2013
Model allows you to choose or create a model to describe the behavior associated with the URD. This can be a reliability model, a probability of failure model or an event occurrence model.
Constructors
- New Creates a new model.
Properties
- Name Sets or returns the name of the model (the one used in the repository)
- ID Returns the ID of the model (the one used in the repository).
- ProjectID Returns the ID of the project the resource belongs to.
- Type Returns the type of the model.
- Category Returns the category of the model.
- Designation Returns the designation of the model (for example Weibull-2).
- ErrorHappened Whether or not the last calculation produced an error.
- ConfLevel Returns the confidence level that is currently used for calculations.
Methods
- SetModel Sets a new model.
- Designation Sets a model designation to a string of characters.
- Reliability Adds a failure data point to the collection of data points in the data set.
- Unreliability Adds a suspension data point to the collection of data points in the data set.
- Time Adds a failure interval data point to the collection of data points in the data set.
- MeanTime Adds a suspension interval data point to the collection of data points in the data set.
- Pdf Adds a free-form data point to the collection of data points in the data set.
- FailureRate Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
- Parameters Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
- Bounds_Reliability Adds a suspension interval data point to the collection of data points in the data set.
- Bounds_Unreliability Adds a free-form data point to the collection of data points in the data set.
- Bounds_Time Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
- Bounds_MeanTime Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
- Bounds_FailureRate Adds a free-form data point to the collection of data points in the data set.
- Bounds_Parameters Fits a model from the raw data previously entered in the data set. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.
- SetConfindenceLevel Finds the distribution that fits the data best. Sets FittedModel property if successful. Clears it (sets to Nothing) in case of an error.