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Weibull Distribution

Statistical distribution used in reliability engineering to model component life with three parameters: β (shape/failure pattern), η (scale/characteristic life) and γ (location). β<1: infant mortality; β=1: random failures (exponential); β>1: accelerated age-related wear. η represents life at 63.2% probability of failure. Developed by Wallodi Weibull (1951). Software: ReliaSoft Weibull++, Minitab, R. Enables estimation of optimal preventive replacement intervals and analysis of component warranties.

What you need to know

  • Statistical distribution used in reliability engineering to model component life with three parameters: β (shape/failure pattern), η (scale/characteristic life) and γ (location).
  • β<1: infant mortality; β=1: random failures (exponential); β>1: accelerated age-related wear.
  • η represents life at 63.2% probability of failure.
  • Developed by Wallodi Weibull (1951).
  • Software: ReliaSoft Weibull++, Minitab, R.

Full definition

Statistical distribution used in reliability engineering to model component life with three parameters: β (shape/failure pattern), η (scale/characteristic life) and γ (location). β<1: infant mortality; β=1: random failures (exponential); β>1: accelerated age-related wear. η represents life at 63.2% probability of failure. Developed by Wallodi Weibull (1951). Software: ReliaSoft Weibull++, Minitab, R. Enables estimation of optimal preventive replacement intervals and analysis of component warranties.

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