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基于数据融合技术的传感器自校正/标定模型 被引量:3

Self-Rectifying/Calibrating Model Applied Data Fusion
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摘要 压力传感器对温度、湿度、电源波动等因素存在着交叉灵敏度 ,测量时若不排除干扰将导致测量误差。采用数据融合处理技术 ,建立传感器输出自校正 /标定模型 ,消除电源波动对测量的干扰 。 There are many environmental disturbances that result in co-sensitivity and measuring error of pressure sensor.Applied data fusion technology to build up a self-rectifying/calibrating model,the sensor can resist the disturbances and keep high accuracy and stability.The model is proved effective by an actual sensor with current disturbing.
作者 李力 郭秀兰
机构地区 西安交通大学
出处 《仪表技术与传感器》 CSCD 北大核心 2002年第1期7-11,共5页 Instrument Technique and Sensor
关键词 数据融合 传感器 自校正/标定模型 粗度 稳定性 压力传感器 Data Fusion Sensor Self-Rectifying/Calibrating Model Fusion Coefficient
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  • 1黄晓因,王伟.压阻式压力传感器实时自校正方法研究[J].传感器技术,2004,23(10):69-71. 被引量:7
  • 2[2]Perrand E.Theoretical model of perfirmance of a siliconpiczoresistive pressure sensors[J].Ssensors asd Actuators A,1996,57:245-252.
  • 3Sapon D, Zigic A.Correction of a piezoresistive pressure sensor using a microcontroller[J].Instruments and Experimental techniques.2001,44(1):38-44.
  • 4Changsen Sun, Xiaoge Yu, Junxiu Lin. Two practical methods for improving the long-term stability of the photoelastic optical fiber pressure sensor[J]. IEEE Transactions on Instrumentation and Measurement. 2000, 49(4): 776-778.
  • 5Tsing Tshih Tsung, Ho Chang, Liang Chia Chen. Analysis of dynamic characteristics of pressure sensors using square pressure wave theory and system identification[J]. Measurement Science & Technology. 2003,14(11): 1927-1937.
  • 6Ayerdi I,Casta#o E,García-Alonso A. High-temperature ceramic pressure sensor[J].sensors and Actuators. A. 1997,60(1-3): 72-75.
  • 7Matsumoto N., Sinha BK., Niwa M. Long-term stability and performance characteristics of crystal quartz gauge at high pressures and temperatures[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2000,47(2):346-354.
  • 8Moe ST., Wang DT., Lund E. Capacitive differential pressure sensor for harsh environments[J]. sensors and Actuators. A. 2000, 83(1-3): 30-33.
  • 9Moe ST, Wang DT, Lund E. Capacitive differential pressure sensor for harsh environments [J]. sensors and Actuators. A 2000, 83(1-3): 30-33.
  • 10黄明俊,赵伟,侯国屏,陈君.虚拟仪器技术——现代电工电子测量仪器的发展方向[J].电工电能新技术,1998,17(3):26-29. 被引量:31

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