Insulation failures data

A reliability engineer wants to investigate the deterioration of an insulation that is used for electric motors. The motors normally run between 80 and 100° C. To accelerate the rate of failures, the engineer collects failure times for the insulation at four abnormally high temperatures: 110, 130, 150, and 170° C.

You can use this data to demonstrate Accelerated Life Testing and Regression with Life Data. The relationship between the Arrhenius temperature and the failures is linear.

Worksheet column Description
Temp The temperature that the insulation was exposed to for the test: 170, 150,130, or 110
ArrTemp The Arrhenius temperature of the test temperature
Plant The manufacturing plant where the insulation was made: 1 or 2
FailureT The test time in hours for each motor
Censor Indicates whether the insulation failed or survived the test: F = failed or C = did not fail
Design The temperature endpoints for the motors. The motors normally run between 80oC and 100oC
NewTemp The temperature for predicting failures at normal temperatures
ArrNewT The Arrhenius temperature of the prediction temperature
NewPlant The manufacturing plant for estimating failures

Use columns 8 and 9 to estimate the failures from each manufacturing plant at normal temperatures.

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