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提出了一种2层信息融合方法,特征层采用RBF神经网络进行空间上的融合,决策层采用DS证据理论进行时间上的融合,充分利用了各传感器在时间和空间上的互补和冗余信息,提高了提升机制动系统诊断的可靠性和正确性。
A two-layer information fusion method is proposed. The feature layer adopts the RBF neural network for spatial fusion. The decision-making layer adopts the DS evidence theory to fuse with time. It makes full use of each sensor’s complementary and redundant information in time and space , Which improves the reliability and correctness of the diagnosis of hoist braking system.