Reliability and Survival Methods > Fatigue Model > Fatigue Model Platform Options
Publication date: 07/08/2024

Fatigue Model Platform Options

The Fatigue Model red triangle menu contains the following options:

Fit Box-Cox Loglinear Sigma

Fits a Box-Cox Loglinear Sigma model, which specifies the fatigue-life distribution as a function of the fatigue-strength setting. When you choose this option, you specify one or more distributions for the fatigue-life variable. A separate model is fit for each specified distribution.

Fit Coffin-Manson

Fits a Coffin-Manson model, which specifies the fatigue-strength distribution as a function of the fatigue-life variable. When you choose this option, you specify one or more distributions for the fatigue-strength variable. A separate model is fit for each specified distribution.

Fit Coffin-Manson Zero Elastic Slope

Fits a Coffin-Manson Zero Elastic Slope model, which specifies the fatigue-strength distribution as a function of the fatigue-life variable. When you choose this option, you specify one or more distributions for the fatigue-strength variable. A separate model is fit for each specified distribution.

Fit Basquin (Inverse Power)

Fits a Basquin (Inverse Power) model, which specifies the fatigue-life distribution as a function of the fatigue-strength setting. When you choose this option, you specify one or more distributions for the fatigue-life variable. A separate model is fit for each specified distribution.

Fit Nishijima

Fits a Nishijima model, which specifies the fatigue-strength distribution as a function of the fatigue-life variable. When you choose this option, you specify one or more distributions for the fatigue-strength variable. A separate model is fit for each specified distribution.

Fit Rectangular Hyperbola

Fits a rectangular hyperbola model, which specifies the fatigue-strength distribution as a function of the fatigue-life variable. When you choose this option, you specify one or more distributions for the fatigue-strength variable. A separate model is fit for each specified distribution.

Fit All Models

Fits all individual models for all supported distributions.

See Local Data Filters in JMP Reports, Redo Menus in JMP Reports, Group Platform, and Save Script Menus in JMP Reports in Using JMP for more information about the following options:

Local Data Filter

Shows or hides the local data filter that enables you to filter the data used in a specific report.

Redo

Contains options that enable you to repeat or relaunch the analysis. In platforms that support the feature, the Automatic Recalc option immediately reflects the changes that you make to the data table in the corresponding report window.

Platform Preferences

Contains options that enable you to view the current platform preferences or update the platform preferences to match the settings in the current JMP report.

Save Script

Contains options that enable you to save a script that reproduces the report to several destinations.

Save By-Group Script

Contains options that enable you to save a script that reproduces the platform report for all levels of a By variable to several destinations. Available only when a By variable is specified in the launch window.

Note: Additional options for this platform are available through scripting. Open the Scripting Index under the Help menu. In the Scripting Index, you can also find examples for scripting the options that are described in this section.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).