The likelihood ratio test (LRT) has attractive failure-detection properties.
Knowledge of future failures and probability distributions is limited and uncertain.
Info-gap theory is used to robustify the LRT against uncertainty.
An info-gap analog of the probabilistic detection-error trade off curve is developed.
Illustrated with an industrial application.