摘要
混沌遗传算法是利用混沌引导种群进化的寻求全局最优的优化方法.将混沌遗传算法用于求解局部放电超声定位的优化问题,根据三个超声波传感器所接收到的超声信号与电脉冲信号的时差,快速精确估算出局部放电源点位置及各路超声波信号的等值波速.仿真及实验结果表明:该算法具有很高的精度和实用价值.
A new method is proposed to locate the partial discharge(PD) source based on chaos genetic algorithm(CGA). Chaos genetic algorithm is a global optimization by using chaos carrier wave to lead the population evolution. Applied CGA to solve the PD ultrasonic locating objective function and based on the ultrasonic wave messages of three ultrasonic sensors, the PD location and PD ultrasonic wave identical velocities can be given precisely and rapidly. It is demonstrated by simulation and experiment that the method is of high precision and effective.
出处
《长沙电力学院学报（自然科学版）》
2004年第1期43-46,共4页
JOurnal of Changsha University of electric Power:Natural Science
基金
教育部青年基金资助项目(20006529)
