Logistic Distribution Example

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This example appears in the Life Data Analysis Reference book.

The lifetime of a mechanical valve is known to follow a logistic distribution. 10 units were tested for 28 months and the following months-to-failure data were collected.

\overset{{}}{\mathop{\text{Times-to-Failure Data with Suspensions}}}\,\,\!
   \text{Data Point Index} & \text{State F or S} & \text{State End Time}  \\
   \text{1} & \text{F} & \text{8}  \\
   \text{2} & \text{F} & \text{10}  \\
   \text{3} & \text{F} & \text{15}  \\
   \text{4} & \text{F} & \text{17}  \\
   \text{5} & \text{F} & \text{19}  \\
   \text{6} & \text{F} & \text{26}  \\
   \text{7} & \text{F} & \text{27}  \\
   \text{8} & \text{S} & \text{28}  \\
   \text{9} & \text{S} & \text{28}  \\
   \text{10} & \text{S} & \text{28}  \\
  • Determine the valve's design life if specifications call for a reliability goal of 0.90.
  • The valve is to be used in a pumping device that requires 1 month of continuous operation. What is the probability of the pump failing due to the valve?

Enter the data set in a Weibull++ standard folio, as follows:

The computed parameters for maximum likelihood are:

  & \widehat{\mu }= & 22.34 \\ 
 & \hat{\sigma }= & 6.15  

The valve's design life, along with 90% two sided confidence bounds, can be obtained using the QCP as follows:

The probability, along with 90% two sided confidence bounds, that the pump fails due to a valve failure during the first month is obtained as follows:

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