基于FBG技术的抛物线与BP神经网络联合算法应用于架空线覆冰厚度监测的研究

摘要

针对架空输电线路覆冰厚度的实时可靠的监测需求,提出了基于光纤光栅传感器技术(FBG)的抛物线与BP神经网络联合算法应用于架空线覆冰厚度监测的方案.该方案在使用抛物线算法对覆冰厚度进行初步计算的基础上,进一步利用BP神经网络算法对计算结果予以修正.试验结果表明:该方案可有效提高基于光纤光栅传感技术的架空线覆冰厚度监测准确度,其覆冰厚度测量误差不超过2mm.%In the light of real-time and reliable monitoring requirement of overhead lines ice thickness,the combined method including FBG parabola and BP neural network is proposed for overhead lines ice thickness monitoring program.At first,the parabolic method is used to carry on the preliminary calculation of ice thickness;and then the preliminary results are modified through the BP neural network algorithm.Experimental results show the program can effectively improve the accuracy of ice thickness of overhead lines based on FBG sensing technology.The error of measured ice thickness is no more than 2 mm.