电测与仪表
電測與儀錶
전측여의표
ELECTRICAL MEASUREMENT & INSTRUMENTATION
2014年
19期
123-128
,共6页
李慧奇%王凯红%李晓龙%王平
李慧奇%王凱紅%李曉龍%王平
리혜기%왕개홍%리효룡%왕평
局部放电%拟合%AR%动态测量不确定度%小波变换%MATLAB
跼部放電%擬閤%AR%動態測量不確定度%小波變換%MATLAB
국부방전%의합%AR%동태측량불학정도%소파변환%MATLAB
partial discharge%fitting%AR%dynamic measurement uncertainty%wavelet transform%MATLAB
局部放电信号中含有大量随机噪声,局部放电信号和随机噪声分离困难。针对此问题,提出了基于动态测量不确定度的局部放电信号提取方法。采用 Gaussian 拟合法将含噪信号中的确定性成分分离出来,利用自回归(AR)模型估计出分离后剩余残差的随机性成分,将确定性成分和随机性成分进行合成得到含噪信号的真值估计值和动态测量不确定度,以动态测量不确定度为依据,根据3σ法则选取阈值,将质量差的数据先行剔除,进一步改善滤波效果。由于处理后的信号会产生间断点,采用小波变换平滑滤波,提高提取精度。最后通过 MATLAB 仿真分析和实测含噪局放信号的提取,验证方法的有效性和可行性。
跼部放電信號中含有大量隨機譟聲,跼部放電信號和隨機譟聲分離睏難。針對此問題,提齣瞭基于動態測量不確定度的跼部放電信號提取方法。採用 Gaussian 擬閤法將含譟信號中的確定性成分分離齣來,利用自迴歸(AR)模型估計齣分離後剩餘殘差的隨機性成分,將確定性成分和隨機性成分進行閤成得到含譟信號的真值估計值和動態測量不確定度,以動態測量不確定度為依據,根據3σ法則選取閾值,將質量差的數據先行剔除,進一步改善濾波效果。由于處理後的信號會產生間斷點,採用小波變換平滑濾波,提高提取精度。最後通過 MATLAB 倣真分析和實測含譟跼放信號的提取,驗證方法的有效性和可行性。
국부방전신호중함유대량수궤조성,국부방전신호화수궤조성분리곤난。침대차문제,제출료기우동태측량불학정도적국부방전신호제취방법。채용 Gaussian 의합법장함조신호중적학정성성분분리출래,이용자회귀(AR)모형고계출분리후잉여잔차적수궤성성분,장학정성성분화수궤성성분진행합성득도함조신호적진치고계치화동태측량불학정도,이동태측량불학정도위의거,근거3σ법칙선취역치,장질량차적수거선행척제,진일보개선려파효과。유우처리후적신호회산생간단점,채용소파변환평활려파,제고제취정도。최후통과 MATLAB 방진분석화실측함조국방신호적제취,험증방법적유효성화가행성。
The partial discharge signal contains a lot of random noise,which makes it difficult to separate the partial discharge signal and the random noise. Aiming at such problem,a partial discharge signal extraction method based on dynamic measurement uncertainty has been proposed in this paper. The deterministic component will be separated by Gaussian fitting method,and the random component of the remaining residual after the separation will be estimated u-sing autoregressive(AR)model;the true value estimation and dynamic uncertainty measurement of noisy signal will be obtained by the combination of the deterministic component and the random component;the threshold will be deter-mined according to the 3σ rule,and the data of poor quality will be removed firstly so as to improve the filtering effect. Because of the discontinuity point in the signal after being processed,wavelet transform smoothing filter will be used to improve the extraction accuracy. Finally,the effectiveness and feasibility of the method will be verified by MATLAB simulation and experimental noisy PD signal extraction.