Introduction:

A product's (component, subsystem, or system) reliability metric (or parameter) can improve over time as a result of design and/or manufacturing process modifications. This is known as reliability growth.
A reliability growth program is a methodical approach of identifying reliability issues through testing, implementing remedial measures, and tracking the product's increased reliability over the course of the test phases.
The system, a significant subsystem, or a lower unit level can all be the site of reliability growth testing.

Therefore, The Reliability Growth module helps to determine there is an improving or worsening trend in reliability in a system.

Key distributions:

The Reliability Growth module can match a curve to continuous or discrete test times, based on one of the following methods:

• Power Law
• Power Law (grouped failures)
• Crow Discrete (Power Law for discrete data)

Benefits:

• It analyzes test data by calculating scale and shape parameters that define a growth curve that fits the data.
• The scale and shape parameters can be used to calculate failure intensity, Mean Time to Failure (MTTF), or Unreliability at an arbitrary time.
• This allows a user to determine there is an improving or worsening trend in reliability in a system.
• Reliability Workbench automatically fits a curve to the data according to the chosen method and displays the results graphically in the form of cumulative number of failures plots, failure intensity plots, MTTF plots, and Unreliability plot.