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Fault diagnosis is a process of information fusion, for the reasons of low fault diagnosis precision and credibility of traditional diagnosis methods, a fault diagnosis method fusing BP neural Network was presented to realize fault diagnosis. Based on multi-sensor information fusion, to use fault information fully, we give a diagnosis way of multi-network diagnosis respectively from different flank,...
For the reasons of low fault diagnosis accuracy of traditional diagnosis methods, a fault diagnosis method fusing BP neural Network and multi-sensor information fusion technique based on D-S evidence theory was presented to realize fault diagnosis. On the base of integrated neural network, importing evidential reasoning, a fault diagnosis technique which combine neural network and D-S evidential reasoning...
For the reasons of low fault diagnosis accuracy of traditional diagnosis methods, a fault diagnosis method fusing BP neural Network and multi-sensor information fusion technique based on D-S evidence theory was presented to realize fault diagnosis. On the base of integrated neural network, importing evidential reasoning, a fault diagnosis technique which combine neural network and D-S evidential reasoning...
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