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Data fusion method is applied in fault diagnosis field. The faults are diagnosed through three levels which are data fusion level, feature level and decision level respectively. The feature level uses multi-collateral neural networks. The purpose of using neural networks is mainly getting basic probability assignment (BPA) of D-S evidence theory. On the other hand the neural networks in feature level...
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