Learning from past failure data
Weibull Analysis is used to analyze historical failure data and produce failure distributions to reveal failure trends and predict failure behavior.
As a module within Reliability Workbench™, it is a powerful tool for analyzing historical failure and repair data, and producing probabilistic failure distributions based on the data provided. Data can be input easily or incorporated from other sources.
The Weibull Analysis module assigns probability distributions which represent the failure or repair characteristics of a given failure mode.
The failure distribution assigned to a given set of times to failure (known as a Weibull set) may be assigned to basic events or generic failure models in the Fault Tree Analysis module and to reliability blocks or generic failure models in the RBD analysis. This data can be used as inputs to the failure models used in a fault tree analysis or a reliability block diagram (RBD) analysis.
The Weibull Analysis module analyzes times-to-failure and time-to-repair data using the following distributions:
- 1-Parameter Weibull Distribution
- 2-Parameter Weibull Distribution
- 3-Parameter Weibull Distribution
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