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MORE SOLVED EXAMPLES Lecture 5 Prof. Dr. Ahmed Farouk Abdul Moneim
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1000 components were tested over an interval of time of 10 000 hours.
Hours of operation in 1000 hrs Cumulative number of failures 4 729 0.5 10 5 874 1 25 6 909 1.5 122 7.5 953 2 212 984 3 541 Evaluate the parameters β, η Evaluate MTTF Evaluate the design life of a support manufactured from the polymer for an engine seating having minimum allowable reliability of 0.9. Could a burn-in test for 500 hrs extend the design life of the support Prof. Dr. Ahmed Farouk Abdul Moneim
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This is an equation of a Straight line with slope= β and intercept C
IF the Time to Failure is ASSUMED to be distributed by WEIBULL distribution, then we have: Since η and β are constants, the variables R(t) and t have the above relation. If we put: This is an equation of a Straight line with slope= β and intercept C Prof. Dr. Ahmed Farouk Abdul Moneim
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A Hint about LINEAR REGRESSION
If you have data about two variables Y and X. You want to construct a STRAIGHT LINE Relation between Y and X: The Slope of the straight line β and the intercept C will be given by Y X y1 x1 y2 X2 ….. …. Y n X n The calculations is on an Excel sheet Prof. Dr. Ahmed Farouk Abdul Moneim
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Observation Time in Hours # of Failures F R Y=ln(ln(1/R)) X=ln(t) XY X^2 1 500 10 0.01 0.99 -4.600 6.215 38.621 2 1000 25 0.025 0.975 -3.676 6.908 47.717 3 1500 122 0.122 0.878 -2.039 7.313 53.483 4 2000 212 0.212 0.788 -1.434 7.601 57.774 5 3000 541 0.541 0.459 -0.250 8.006 -2.003 64.102 6 4000 729 0.729 0.271 0.267 8.294 2.212 68.791 7 5000 874 0.874 0.126 0.728 8.517 6.203 72.543 8 6000 909 0.909 0.091 8.700 7.605 75.682 9 7500 953 0.953 0.047 1.118 8.923 9.972 79.614 10000 984 0.984 0.016 1.420 9.210 13.074 84.830 -0.759 7.969 Matrix Normal Algebra Bo Beta B1 Eta
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Find DESIGN LIFE with Reliability of 0.9
DL Could a burn-in test for 500 hrs extend the design life of the support R=0.9 DL 500 DL+500 Prof. Dr. Ahmed Farouk Abdul Moneim
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Could a burn-in test for 500 hrs extend the design life of the support
But DL without Burn-in test =1457 hours Therefore, the Burn-in test of 500 hours REDUCES the Design Life from 1457 hours down to hours REMEMBER that β = 2.18 >> 1 Prof. Dr. Ahmed Farouk Abdul Moneim
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