Statement Networks to Condition Monitoring of the Sealless Pump
Abstract
This paper shows an application of multi-layer statement networks to condition monitoring of the sealless magnetic drive pump. In this case, statement networks are computed based on the use of Bayesian probabilities. Moreover, the tool called REx which allows implementing such networks is described. An example of created four-layer network as well as final results of the performed tests shows also.References
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