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传感器在物理量测量中占据着举足轻重的地位,它的输出数据的正确与否直接影响到人们对被测量的认识。在对人工神经网络分析的基础上,提出一种基于人工神经网络理论的传感器数据证实方法,对具有关联关系的传感器输出进行证实,并用齿轮试验台进行仿真实验。
The sensor occupies a decisive position in the measurement of the physical quantity. The correctness of its output data directly affects people’s understanding of the measured object. Based on the analysis of artificial neural network, a sensor data verification method based on artificial neural network theory is proposed. The output of sensor with correlation is verified and simulated by gear test bench.