New classifier accurately identifies components in complex systems using masked data.
The researchers developed a classifier called Bayes empirical Bayes (BEB) to identify components in a system using masked data. This classifier is effective in recognizing components with unknown parameters and improves as more data is collected. The BEB estimation accurately predicts the mean life of each component in the system.