电力系统故障的微弱信号检测方法的研究
|
摘要
为了确保电力系统能够安全稳定的运行,实时检测故障中的微弱信号;通过噪声干扰情况下微弱信号的不同变化进行研究,得到了一种微弱信号的DUFFING混沌检测模型;系统发生故障时会产生相应的微弱信号,运用DUFFING混沌振子法分析不同情况下微弱信号的时域波形和相平面轨迹变化规律,并建立数学检测模型,对其幅值进行混沌检测仿真;结果表明,当条件适当时将白噪声和微弱正弦信号同时加入后,此时,混沌状态、大尺度周期状态的相平面运行轨迹依然在进行有规律的运行,可以清晰的观察出需要检测的微弱信号;在强噪声存在于系统中时,该方法明显克服了噪声对信号稳定性的干扰,能精确有效检测微弱信号;系统在应对不同工作环境、仪器设备老化等情况时,提高了检测效率,保证系统的稳定运行。
In order to ensure that the power system operate safely and reliably,and make the fault detection on real-time,according to the study on the noise of different changes of weak signal,we put forward a model of DUFFING chaotic detection for weak signal.When The system is failure,it occurs the corresponding weak signal,through the DUFFING chaotic oscillator method to analyse time domain waveform of weak signal,which under different conditions and phase plane trajectory variation.Then establish the corresponding detection mathematical model,and simulate the amplitude of chaotic detection.The results show that when r=0.8264 V,w=1 rad/s,then add white noise and weak sinusoidal signal at the same time,the phase plane trajectory of chaotic state and large scale periodic state is still in regular operation,which can clearly observe the detected signals.If there is the strong noise in the system,this method will overcome the interference of noise to signal stability,will accurately and effectively detect weak signals.When the system response to different working environment and equipment ageing situation,The method improve the weak signal detection efficiency and ensure stable operation of the system.
In order to ensure that the power system operate safely and reliably,and make the fault detection on real-time,according to the study on the noise of different changes of weak signal,we put forward a model of DUFFING chaotic detection for weak signal.When The system is failure,it occurs the corresponding weak signal,through the DUFFING chaotic oscillator method to analyse time domain waveform of weak signal,which under different conditions and phase plane trajectory variation.Then establish the corresponding detection mathematical model,and simulate the amplitude of chaotic detection.The results show that when r=0.8264 V,w=1 rad/s,then add white noise and weak sinusoidal signal at the same time,the phase plane trajectory of chaotic state and large scale periodic state is still in regular operation,which can clearly observe the detected signals.If there is the strong noise in the system,this method will overcome the interference of noise to signal stability,will accurately and effectively detect weak signals.When the system response to different working environment and equipment ageing situation,The method improve the weak signal detection efficiency and ensure stable operation of the system.
引文
[1]时美子.微弱信号检测与辨识机制研究[D].阜新:辽宁工程大学,2011.
[2]陈冬,戴琼海,徐文立.引入混沌机制处理网络回传噪声问题[J].清华大学学报自然科学版,2002,42(11):1556—1559.
[3]赖志慧.基于DUFFING混沌振子和随机共振特性的微弱信号检测方法研究[D].天津:天津大学,2014.
[4]吴冬梅.基于达芬振子的微弱信号检测方法研究[D].哈尔滨:哈尔滨工程大学,2010.
[5]何立群.基于Duffing振子的低速重载设备故障诊断方法及应用[D].北京:北京工业大学,2009.
[6]赵力.基于混沌振子的小型挖掘机回转支承早期微弱故障信号检测[D].西安:西安建筑科技大学,2014.
[7]孙彦龙.基于达芬振子的微弱机械故障信号检测及特性提取方法[D].秦皇岛:燕山大学,2016.
[8]李楠,刘福.微弱信号检测的3种非线性方法[J].电力自动化设备,2008,28(4):82-86.
[9]潘光秀.电力载波通信中微弱信号混沌检测方法研究[D].西安:长安大学,2013.
[10]刘鹏,赵文礼,吴君棋.基于混沌振子微弱信号检测的改进与比较[J].机电工程,2009,26(4):9-11,30.
[11]赵文礼,黄振强,赵景晓.基于Duffing振子的微弱信号检测方法及其电路的实现[J].电路与系统学报,2011,16(6):120-124,56.
[12]闫政涛,楼京俊.混沌隔振系统幅值控制方法仿真研究[J].硅谷,2013(7):83-85.
[13]张敏.基于混沌理论的微弱信号检测原理及其在金属探测器中的应用研究[D].济南:山东大学,2007.
[14]韩振榕.基于混沌振子的微弱信号测频研究[J].苏州大学学报(工科版),2009,29(6):55-57.
[15]梁倩.微弱信号的混沌检测方法[D].西安:西北工业大学,2007.
[2]陈冬,戴琼海,徐文立.引入混沌机制处理网络回传噪声问题[J].清华大学学报自然科学版,2002,42(11):1556—1559.
[3]赖志慧.基于DUFFING混沌振子和随机共振特性的微弱信号检测方法研究[D].天津:天津大学,2014.
[4]吴冬梅.基于达芬振子的微弱信号检测方法研究[D].哈尔滨:哈尔滨工程大学,2010.
[5]何立群.基于Duffing振子的低速重载设备故障诊断方法及应用[D].北京:北京工业大学,2009.
[6]赵力.基于混沌振子的小型挖掘机回转支承早期微弱故障信号检测[D].西安:西安建筑科技大学,2014.
[7]孙彦龙.基于达芬振子的微弱机械故障信号检测及特性提取方法[D].秦皇岛:燕山大学,2016.
[8]李楠,刘福.微弱信号检测的3种非线性方法[J].电力自动化设备,2008,28(4):82-86.
[9]潘光秀.电力载波通信中微弱信号混沌检测方法研究[D].西安:长安大学,2013.
[10]刘鹏,赵文礼,吴君棋.基于混沌振子微弱信号检测的改进与比较[J].机电工程,2009,26(4):9-11,30.
[11]赵文礼,黄振强,赵景晓.基于Duffing振子的微弱信号检测方法及其电路的实现[J].电路与系统学报,2011,16(6):120-124,56.
[12]闫政涛,楼京俊.混沌隔振系统幅值控制方法仿真研究[J].硅谷,2013(7):83-85.
[13]张敏.基于混沌理论的微弱信号检测原理及其在金属探测器中的应用研究[D].济南:山东大学,2007.
[14]韩振榕.基于混沌振子的微弱信号测频研究[J].苏州大学学报(工科版),2009,29(6):55-57.
[15]梁倩.微弱信号的混沌检测方法[D].西安:西北工业大学,2007.