| 摘要 |
A method of assisting failure diagnosis in a system includes obtaining (302) data including a probabilistic Bayesian Network describing a set of failures (F1, F2), a set of symptoms (S1, S2, S3) and probabilities of at least some of the symptoms being associated with at least some of the failures in a system. A cost value (CS1) representing a cost associated with learning of a presence or absence of the symptom (S1) is obtained for at least some of the symptoms, as well as a plurality of information values (IS1-F1, IS1-F2), e.g. values representing measures of information gained by learning of the presence or absence of the symptom in relation to a respective plurality of the failures, associated with the symptom. The method then computes (308) an information-for-cost value for the symptom based on the cost value and the plurality of information values.
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