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A design of fault diagnose system for array infrared sensor based on data fusion technology

机译:基于数据融合技术的阵列红外传感器故障诊断系统设计

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Based on data fusion technology, a design of fault diagnose of array infrared sensor is proposed. The design is using multi-neural network to track status of every single sensor of the detect sensor system. Abstracting characteristic vectors to analysis, the method uses Support Vector Machine (SVM) to classify different kinds of situations for sensor failure. The simulation result shows that multi-neural network could track sensors' status well and SVM could distinguish sensor failure efficiently. It is reward for the application on multi-sensor data fusion technology used in fault diagnose area.
机译:基于数据融合技术,提出了阵列红外传感器故障诊断的设计方案。该设计使用多神经网络来跟踪检测传感器系统中每个传感器的状态。该方法通过提取特征向量进行分析,使用支持向量机(SVM)对传感器故障的各种情况进行分类。仿真结果表明,多神经网络可以很好地跟踪传感器的状态,支持向量机可以有效地识别传感器故障。对于在故障诊断领域中使用的多传感器数据融合技术的应用给予了奖励。

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