Chapter 3: Constant Failure Rate Model

Chapter 3: Constant Failure Rate Model

1. Weibull

2. Gamma

3. Normall

4. Lognormal Probability Distributions

5. Extreme Value

6. Useful Models

   • Mathematically and not Empirucally
     • To Decribes de Failures and Reliability of a component or a System.

7. Constant Failure Rates = Exponencial Probability Distribution

   • Most Important RELIABILITY Distributions
     • Has a Good parameter estimators and Exact confidence Intervals
   • Pincipal Characteristics: Randomness. Confidence Intervals. Constant Failure Rates. Memorylessness
     • Memorylessness
       • Time to failure of a component is not dependent on How long the component has been operating or if it is new or has aging effects.
         • The property is consistent with completely Random and Independent nature of the failure Process
   • Failure Modes
     • From different physical phenomena or different failure characteristics of individual components
       • The fuction of a useful analysis in reliability engineering is to separate these failures.
     • Poisson Procces
       • Often used in inventory analysis to determinate the number of spare components when the time between failures is exponential