6. Predictive maintenance decision methods
In predictive maintenance, decision theory enables managers to select thresholds reliably and not "by guesswork", by making a compromise between two major risks: false alarms, which lead to unjustified and costly equipment shutdowns, and non-detection, which corresponds to the continued operation of faulty equipment, with potentially critical consequences.
Decision-theoretic methods are based on the formulation of hypotheses (H0: normal / H1: failure) and the assessment of risks in terms of error probabilities (false alarm, non-detection). A large number of methods have been developed using statistical criteria and tests or Bayesian approaches, and are the subject of numerous publications
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Predictive maintenance decision methods