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应变数据融合测力传感器的仿真与实验研究 被引量:1

Simulation & experiment study on strain data fusion load sensor
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摘要 采用仿真与实验方法,探讨了不同高度柱式应变测力传感器在各种偏心和斜载条件下,电桥直接输出值的百分比误差和利用神经网络进行应变数据融合后输出的百分比误差。仿真与实验结果均表明:在柱式应变传感器高度直径(h/D)比为1/4的情况下,神经网络应变数据融合输出仍然可以保持较高的测量精度,且基本不受传感器高度变化的影响,这为大力值小空间测力传感器制造提供了一种有效途径。 In all kind of off-center load and inclined load conditions,when the height of cylinder strain load sensor is different ,the output percent error of electric bridge and that of strain data fusion are discussed by the simulation and experiments.The simulation and experiments indicates that for cylinder strain load sensor,the high measuring accuracy of the strain data fusion load sensor with the ratio of height and diameter of about the 1/4(h/D=1/4) is still kept.Thus the method provides an effective way for building the load sensor with huge load and low workroom.
出处 《传感器技术》 CSCD 北大核心 2004年第10期29-32,共4页 Journal of Transducer Technology
关键词 应变传感器 传感器高度 神经网络 数据融合 仿真 测力传感器 load sensor sensor height neural network data fusion
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