On failure a part can either be replaced (and thus restored to as good as new)...

 

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On failure a part can either be replaced (and thus restored to as good as new) or be minimally repaired (and restored to operating condition). If it is replaced, the time- between-failure distribution is lognormal with a median time to failure of 1150 operating hours and s= 0.9. Minimal repair results in a nonhomogeneous Poisson process with p(t) = (0.4 x 10-8)(2.8)¹.8, if a failure occurs at 400 operating hours, should the part be replaced if another 300 hr of use is required? Base your answer on the reliability over the next 300 hr. On failure a part can either be replaced (and thus restored to as good as new) or be minimally repaired (and restored to operating condition). If it is replaced, the time- between-failure distribution is lognormal with a median time to failure of 1150 operating hours and s= 0.9. Minimal repair results in a nonhomogeneous Poisson process with p(t) = (0.4 x 10-8)(2.8)¹.8, if a failure occurs at 400 operating hours, should the part be replaced if another 300 hr of use is required? Base your answer on the reliability over the next 300 hr.

Answer rating: 100% (QA)

To determine whether the part should be replaced or minimally repaired based on the reliability over the next 300 operating hours we need to compare t... View the full answer