Blog Post
Masked Failure Data: Looking Back, Looking Forward
I started this work in 2020, during the math master’s. Now it is 2026. I am a PhD student in CS, still working on the same problem, and the shape of the project has changed enough that it is worth stepping back and looking at where things stand.
The problem, briefly: a series system fails when any component fails, but you often cannot tell which component caused the failure. The failure cause is “masked.” You may also have censored observations (systems still running when testing ends). Given this incomplete data, estimate the reliability of individual components.
This post is not a tutorial. It is a map of what I have built, what I have learned, and what I am working on next.
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statistics
reliability
series-systems
masked-data
