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目前多传感器融合技术能够有效地提高精度和容错能力 ,所以它广泛应用于目标识别领域中。本文描述了一种基于旋转机械故障诊断多传感器融合系统 ,在数据融合处理中利用模糊神经网络 ,比较了采用基于数据融合实验结果和没有融合的原始数据 ,显然前者比后者更精确。
The current multi-sensor fusion technology can effectively improve the accuracy and fault tolerance, so it is widely used in the field of target recognition. In this paper, a fault diagnosis multi-sensor fusion system based on rotating machinery is introduced. In the data fusion process, fuzzy neural network is used. Compared with the experimental results based on data fusion and the original data without fusion, the former is more accurate than the latter.