A certain method of using diagnostic information for technical risk analysis

The paper presents the need for increasing the certainty and precision of probabilistic models, both in risk analysis as well as in simulation models that are helpful during regular operation. Such possibilities are presented by accounting in the analysis for the information derived during inspections or in operational diagnosis while applying proportional models or Bayes estimation. The paper also points to the need for extending the proportional models to include time-dependent models.