CModel Class: Difference between revisions

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=== Properties  ===
=== Properties  ===
*'''[[Name - cModel]]''' {{APIComment|Sets or returns the name of the model (the one used in the repository)}}
*'''[[Name - cModel|Name]]''' {{APIComment|Sets or returns the name of the model (the one used in the repository)}}
*'''[[ID - cModel]]''' {{APIComment|Returns the ID of the model (the one used in the repository).}}
*'''[[ID - cModel|ID]]''' {{APIComment|Returns the ID of the model (the one used in the repository).}}
*'''[[ProjectID - cModel]]''' {{APIComment|Returns the ID of the project the resource belongs to.}}
*'''[[ProjectID - cModel|ProjectID]]''' {{APIComment|Returns the ID of the project the resource belongs to.}}
*'''[[Type - cModel]]''' {{APIComment|Returns the type of the model.}}
*'''[[Type - cModel|Type]]''' {{APIComment|Returns the type of the model.}}
*'''[[Category - cModel]]''' {{APIComment|Returns the category of the model.}}
*'''[[Category - cModel|Category]]''' {{APIComment|Returns the category of the model.}}
*'''[[Designation - cModel]]''' {{APIComment|Returns the designation of the model (for example Weibull-2).}}
*'''[[Designation - cModel|Designation]]''' {{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|ErrorHappened]]''' {{APIComment|Whether or not the last calculation produced an error.}}
*'''[[ConfLevel - cModel]]''' {{APIComment|Returns the confidence level that is currently used for calculations.}}
*'''[[ConfLevel - cModel|ConfLevel]]''' {{APIComment|Returns the confidence level that is currently used for calculations.}}





Revision as of 15:41, 5 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

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

  • 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.