By Wayne B. Nelson
This functional source presents modern, statistical tools for sped up checking out together with attempt versions, analyses of information, and plans for trying out. each one subject is self-contained for simple reference. assurance is vast and designated sufficient to function a textual content or reference. this convenient booklet positive factors genuine attempt examples in addition to info analyses, machine courses, and references to the literature.
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Extra info for Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics)
Quick failures do not guarantee more accurate estimates. A constant stress test with a few specimen failures usually yields greater accuracy than a shorter step-stress test where all specimens fail. Roughly speaking, the total time on test (summed over all specimens) determines accuracy - not the number of failures. Disadvantages. There is a major disadvantage of step-stress tests for reliability estimation. Most products run at constant stress - not step stress. Thus the model must properly take into account the cumulative effect of exposure at successive stresses.
Ideally, as an aid to planning, one should write the final report before running the test. Blank spaces in the report can be filled in when data are collected. Also, it is very useful to run a pilot test with a small number of specimens. The pilot test should involve all steps in fabrication and testing. This will reveal problems that can be corrected before the main test. Also, analyze pilot or simulated data. This is a check that the planned analyses of the final data will yield the desired information accurately enough.
These typical engineering and management decisions often must ultimately be made on the basis of test arid other information. Statistical methods, of course, do not provide answers nor make decisions. They merely provide numerical information on product performance. Thus, if statistical methods are to be used, the engineering purpose must also be expressed as a statistical purpose in terms of needed riunterical inifonnutiori on the product. Statistical purpose. If an engineer (or manager) has difficulty specifying such needed numbers, the following may help.