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Track the trends in your system

During testing of new products, reliability detractors are identified and corrective actions implemented. The improving reliability can be measured through reliability growth analysis supporting the aim of reaching the reliability goal.

The Reliability Growth module of Reliability Workbench™ analyzes test data by calculating scale and shape parameters, which can then be used to calculate failure intensity, Mean Time to Failure (MTTF), or Unreliability at an arbitrary time. By looking at the growth curve, you can quickly identify improving or worsening trends in reliability in a system.

 


 

Features

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Flexible methodology

The Reliability Growth module can match a curve to continuous or discrete test times, based on one of either the Power Law, Power Law (grouped failures), or Crow Discrete (Power Law for discrete data) methods.

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Clear graphical interface

Reliability Workbench™ automatically fits a curve to the data according to the chosen method and displays the results graphically. You can see the cumulative number of failures plots, failure intensity plots, MTTF plots and Unreliability plots.

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Easy input of data

Data may be entered manually by the user, imported from other packages or transferred via the Windows clipboard

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Fast analysis

New data can be analyzed in three simple steps – first, enter or import the data; then choose the appropriate calculation options for the data. Finally, assign the appropriate Growth method.

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