CModel Class: Difference between revisions
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=== Properties === | === Properties === | ||
*'''[[Name]]''' {{APIComment|Sets or returns the name of the model (the one used in the repository)}} | *'''[[Name - cModel]]''' {{APIComment|Sets or returns the name of the model (the one used in the repository)}} | ||
*'''[[ID]]''' {{APIComment|Returns the ID of the model (the one used in the repository).}} | *'''[[ID - cModel]]''' {{APIComment|Returns the ID of the model (the one used in the repository).}} | ||
*'''[[ProjectID]]''' {{APIComment|Returns the ID of the project the resource belongs to.}} | *'''[[ProjectID - cModel]]''' {{APIComment|Returns the ID of the project the resource belongs to.}} | ||
*'''[[Type]]''' {{APIComment|Returns the type of the model.}} | *'''[[Type - cModel]]''' {{APIComment|Returns the type of the model.}} | ||
*'''[[Category]]''' {{APIComment|Returns the category of the model.}} | *'''[[Category - cModel]]''' {{APIComment|Returns the category of the model.}} | ||
*'''[[Designation]]''' {{APIComment|Returns the designation of the model (for example Weibull-2).}} | *'''[[Designation - cModel]]''' {{APIComment|Returns the designation of the model (for example Weibull-2).}} | ||
*'''[[ErrorHappened - CModel]]''' {{APIComment|Whether or not the last calculation produced an error.}} | *'''[[ErrorHappened - CModel]]''' {{APIComment|Whether or not the last calculation produced an error.}} | ||
*'''[[ConfLevel]]''' {{APIComment|Returns the confidence level that is currently used for calculations.}} | *'''[[ConfLevel - cModel]]''' {{APIComment|Returns the confidence level that is currently used for calculations.}} | ||
Revision as of 21:39, 4 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
- Sub New - cModel Creates a new model.
- SetModel Sets a new model.
- Designation Sets a model designation to a string of characters.
Properties
- Name - cModel Sets or returns the name of the model (the one used in the repository)
- ID - cModel Returns the ID of the model (the one used in the repository).
- ProjectID - cModel Returns the ID of the project the resource belongs to.
- Type - cModel Returns the type of the model.
- Category - cModel Returns the category of the model.
- Designation - cModel Returns the designation of the model (for example Weibull-2).
- ErrorHappened - CModel Whether or not the last calculation produced an error.
- ConfLevel - cModel Returns the confidence level that is currently used for calculations.
Methods
- SetModel Clears all data and fitted model. All analysis settings stay unchanged.
- 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.