摘要
外界温度与光纤应变都会导致光纤光栅的中心波长发生偏移,由此引起光纤光栅传感器在测量时的温度与应变交叉敏感问题。运用人工神经网络理论,建立光纤光栅测量系统的BP神经网络模型,对网络进行训练并评估,结果表明训练后的网络很好实现温度与应变的同时测量。
Temperature and strain can cause, center wavelengh excursion of fiber bragg grating and thus cross sensitivity of temperature and strain when measuring with fiber bragg grating. BP neural network model of fiber bragg grating system is established with ANN theory. Simultaneous measurement of temperature and strain is achieved after training the neural network.
出处
《石家庄铁路职业技术学院学报》
2009年第4期46-49,共4页
Journal of Shijiazhuang Institute of Railway Technology
基金
河北省教育厅自然科学项目:Z2009460
河北省教育厅自然科学项目:Z2009461
关键词
光纤光栅
人工神经网络
温度
形变
fiber bragg grating artificial neural network - temperature strain
