Read e-book online Accelerated Testing: Statistical Models, Test Plans, and PDF

By Wayne B. Nelson

ISBN-10: 0471522775

ISBN-13: 9780471522775

This functional source presents modern, statistical equipment for sped up trying out together with try out versions, analyses of knowledge, and plans for trying out. each one subject is self-contained for simple reference. assurance is extensive and distinctive adequate to function a textual content or reference. this useful publication positive factors actual try examples besides info analyses, laptop courses, and references to the literature.

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Read or Download Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics) PDF

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Additional resources for Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics)

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MIL-STD-883Cdescribes such tests for qualifying microelectronics. Purposes. In design and manufacturing development work, elephant tests reveal failure modes. Engineers then change the product or manufacturing process to overcome such failures. This important use of elephant testing is a standard engineering practice that often improves a product. It sometimes does not, as shown below by the TV transformer example. For quality control, elephant testing of samples from production can reveal product changes.

In use, mineral build-up inside the tubing constricts the opening. This build-up gradually increases the time to make a pot of coffee. Engineers developed an accelerated test to study this problem - the sludge test. It was used to compare tubing designs, including competitors’ designs. The test involved repeatedly running a coffee maker with a mineral-rich slurry that quickly produced build-up. By definition, a coffee maker “failed” on the first pot that took longer than 20 minutes. Of course, 20 minutes is a reasonable but arbitrary time; it owes much to the number of fingers we have.

Usually such engineering purposes concern decisions to be made by engineering and management. For example, they need (1) to decide whether an insulation will last long enough in service, (2) to decide which of several competing designs will last longest in service, or (3) to judge which manufacturing and service variables to control to prolong the service life of a product. These typical engineering and management decisions often must ultimately be made on the basis of test arid other information.

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Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics) by Wayne B. Nelson

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