Weibull++ Standard Folio Data Mixed Weibull: Difference between revisions
Kate Racaza (talk | contribs) (updated description) |
Kate Racaza (talk | contribs) (updated description) |
||
| Line 10: | Line 10: | ||
| valign="middle" | | | valign="middle" | | ||
{{Font|Mixed Weibull Distribution|11|tahoma|bold|gray}} <br><br> | {{Font|Mixed Weibull Distribution|11|tahoma|bold|gray}} <br><br> | ||
Mixed Weibull analysis | Mixed Weibull analysis (also called ''multimodal'' Weibull analysis) can be used in situations when there are multiple failure behaviors, or trends, that exist in a single data set. The method may be useful when dealing with failure modes that cannot be assumed to be independent (i.e., the occurrence of one failure mode affects the probability of occurrence of the other mode) and/or when it is not possible to identify the failure mode responsible for each individual data point. To use mixed Weibull analysis, you will need to specify how many subpopulations exist in the data set (2, 3 or 4). The software will determine the proportion of units that fall under each subpopulation, and calculate the Weibull parameters of those subpopulations. The overall reliability of the full data set is then calculated by taking the sum of the proportional reliability contributions of each subpopulation. | ||
|} | |} | ||
<br> | <br> | ||
Revision as of 23:29, 12 August 2012
 |
|
Mixed Weibull Distribution |
Learn more from...
|
the help files... |
|
the theory textbook... |
|
related article(s)... |
|
application example(s)... |
