基于图像识别理论的混沌特性判别方法

利用混沌振子可以检测微弱的周期信号，并且具有很多优点。该文针对Duffing混沌振子在信号检测领域中的应用，提出了基于图像识别理论的混沌特性判别方法。该方法具有直观、算法简单及计算量小的优点。文中阐述了所提方法的原理，并给出了相应的判别程序流程图及仿真实验结果。仿真结果表明，利用该方法可以准确快速地判断混沌特性，并能很好地满足Duffing混沌振子信号检测的需要。将该文提出的判别方法用于处理小电流单相接地故障保护的现场试验数据，获得了好的效果。

A METHOD OF IDENTIFYING CHAOTIC NATURE BASED ON IMAGE RECOGNITION

Weak periodic signals can be detected by chaotic oscillator and this detection method has many merits compared with others. Applied to weak signal detection based on Duffing chaotic oscillator, a new method of identifying chaotic naturebased on image recognition is presented in this paper. It has such merits as visibility, simple arithmetic and less calculation. It'sprinciple is introduced, and the program flow diagram according to the new method is given. The chaotic nature can be identified precisely and quickly by using this method, which can fit forweak signal detection based on Duffing chaotic oscillator, and is werified by the computer simulation results. This method has been applied to analysis of field test data of small current fault relaying, and obtained good results.