【摘要】 针对输电铁塔塔材被盗现象十分严重的问题,在输电线路状态检修方面进行了新的研究,运用基于经验模态分解(EMD)的分析方法,使系统在电磁干扰下检测出铁塔因不良企图引起的振动信号,防止塔材被盗事件的发生。EMD方法具有自适应的信号分解能力,尤其适合于这种非线性、非稳态的振动信号的处理。对现场观测信号进行经验模态分解,并选择合适的固有模态函数(IMF)分量,结合功率谱分析其特性;配合自适应的阈值脉冲处理算法,尽可能完整地提取出振动脉冲信号。实验结果证明,该方法能够准确地提取出塔材盗窃中产生的振动脉冲信号,并有效抑制了干扰成分。更多还原

【Abstract】 According to the serious theft of transmission tower materials,a new function in the state maintenance for transmission lines is presented to monitor towers and prevent the materials of transmission tower from being stolen frequently.The control system is sensitive to vibration caused by the motion of the tower.The empirical mode decomposition(EMD) method is adopted to examine the vibration signal hidden in the serious electromagnetic interference signal.The EMD method is a good self-adapting signal process method,and it is especially applicable for the non-linear and non-stationary signals.The observed signal is decomposed into intrinsic mode functions(IMFs) by the EMD method.Some IMFs are selected and applied to power spectrum analysis.The useful signals incorporated with the pulse extraction method based on adaptive threshold are used to extract the vibration pulse.The practical tests demonstrate that the proposed method is effective in extracting the vibration signals,and it can also suppress the interference signals.更多还原