You have just completed a reliability improvement test for a newly designed component to be used within a aero engine manufactured by a big multinational company. This component went through 500 operational hours of reliability improvement testing and you estimated the parameters of a Power Law NHPP Model using this test data. Your estimates for the parameters of this model were a= 0.62 and b = 0.42. Using these estimates, and the fact that there were 8 failures over the 500 hours of testing, what is the 97.5% one-sided upper confidence bound for the MTBF at the end of the test? Provide your answer to 3 decimal places.
You have just completed a reliability improvement test for a newly designed component to be used within a aero engine manufactured by a big multinational company. This component went through 500 operational hours of reliability improvement testing and you estimated the parameters of a Power Law NHPP Model using this test data. Your estimates for the parameters of this model were a= 0.62 and b = 0.42. Using these estimates, and the fact that there were 8 failures over the 500 hours of testing, what is the 97.5% one-sided upper confidence bound for the MTBF at the end of the test? Provide your answer to 3 decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You have just completed a reliability improvement test for a newly designed component to be used within a aero engine manufactured by a big multinational company. This component went through 500 operational hours of reliability improvement testing and you estimated the parameters of a Power Law NHPP Model using this test data. Your estimates for the parameters of this model were a= 0.62 and b = 0.42. Using these estimates, and the fact that there were 8 failures over the 500 hours of testing, what is the 97.5% one-sided upper confidence bound for the MTBF at the end of the test? Provide your answer to 3 decimal places.
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