Abstract
In this paper, combining with the actual situation of equipment damage detection information, a Bayesian decision model for maintenance resource demand is proposed. First, the decision loss is divided into two parts by analysis: decision error loss and delay decision loss, and then use the Bayesian risk function to express the total decision loss. Finally, the decision-making loss of the maintenance resource allocation is minimized to obtain the best decision time and the optimal maintenance resource demand.
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