ALTADataSet Class

Instantiate this class to be able to fit an ALTA model from your raw data.

Constructors

• New ALTADataSet Creates a new class that can be used to fit a model from ALTA raw data.
  

Methods

• AddStressDefinition Adds a stress definition (column). The number of stresses in subsequent calls to AddFailure, AddSuspension etc. must be equal to the number of stress definitions in the data set.
• AddStressProfile Adds a stress profile to the data set. It then can be used as a stress for Cumulative Damage model.
• AddFailure Adds a failure data point to the collection of data points in the data set.
• AddSuspension Adds a suspension data point to the collection of data points in the data set.
• AddFailureInterval Adds a failure interval data point to the collection of data points in the data set.
• AddSuspensionInterval Adds a suspension interval data point to the collection of data points in the data set.
• Calculate 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.
• ClearDataSet Clears all data and fitted model. All analysis settings stay unchanged.

Properties

• DatasetName Gets or sets the name of the data set.
• GeneralSettings General settings used when fitting the model or finding the best fit.
• AnalysisSettings Settings used when fitting the model.
• FittedModel Model is fitted from the raw data.
• FailureCount Total number of failures in the data set.
• SuspensionCount Total number of suspensions in the data set.
• NumStresses Returns the number of stresses in the data set.
• StressRelation Sets or returns life-stress relationship for a particular stress.
• PlotUseStress Sets or returns use stress value for a particular stress. This value is used in subsequent plotting of the data set.
• AnalysisResults Returns an instance of a class containing values calculated during the analysis.

Events

• Events Reference to a class that contains overridable methods for handling ALTA solver events.