【摘要】 识别并抑制周期性脉冲干扰是局部放电在线监测的重要环节。由于脉冲波形可能发生畸变,使基于相关、聚类分析的脉冲分类算法在实际应用中参数设置困难甚至算法失效。文中将混沌控制理论应用于局部放电在线监测中,提出了抑制周期性脉冲干扰的混沌算法。该算法利用周期性脉冲干扰的先验知识,设置适当的周期参数扰动来控制Duffing-Homes混沌振子系统,实现对检测信号中的周期性脉冲干扰的精确估计和抑制。实验表明,特定的混沌系统可准确、快速地识别周期性脉冲干扰信号并予以抑制,而对局部放电脉冲信号无任何影响。更多还原

【Abstract】 Identification and suppression of periodical pulse interference is very important for realization of partial discharge (PD) on-line measurement. Because of the pulse aberrance, the algorithm for pulse assorting may result in difficulty in setting the parameters and even total failure. In this paper, theory of controlling chaos is introduced in the PD on-line detection and a special chaotic system is proposed to suppress the periodical pulse interference. Setting the appropriate periodical parameter disturbance based on the knowledge of the periodical pulse interference to control the Duffing-Homes chaotic system, the periodic impulse interference is accurately detected and suppressed with the special chaotic system. Simulation experiments show that the chaotic system can effectively identify and restrain the periodic impulse interference without any influence on PD pulse.更多还原