CAJ | 학술논문

电能质量检测中的扰动信号具有随机、不规则和多变等特性,这使信号识别较为困难,文章通过改进原有的形态非抽样小波（ Morphological Undecimated Wavelet, MUDW),将其应用到电能质量检测中,从而对扰动信号进行定位。改进的形态非抽样小波包含广义开闭和闭开混合滤波器以及能定位扰动信号边缘的多分辨形态梯度,该方案满足信号重构条件。利用MATLAB软件,对于含有暂态或稳态的单一和复合扰动信号进行仿真。通过与文献中的形态非抽样小波对比,结果表示改进后的形态非抽样小波有较好的抗噪性能以及识别能力。
전능질량검측중적우동신호구유수궤、불규칙화다변등특성,저사신호식별교위곤난,문장통과개진원유적형태비추양소파（ Morphological Undecimated Wavelet, MUDW),장기응용도전능질량검측중,종이대우동신호진행정위。개진적형태비추양소파포함엄의개폐화폐개혼합려파기이급능정위우동신호변연적다분변형태제도,해방안만족신호중구조건。이용MATLAB연건,대우함유잠태혹은태적단일화복합우동신호진행방진。통과여문헌중적형태비추양소파대비,결과표시개진후적형태비추양소파유교호적항조성능이급식별능력。
There are random and irregular and variable properties in power quality disturbance detection signal that make it more difficult to identify the signal. This paper improved the original form of morphological un-decimated wavelet decomposition ( MUDW) and applied it to power quality detection to locate the disturbance signals. The im-proved MUDW scheme contains broad open-close or close-open filter and morphological gradient which detect mu-tations on the top and bottom edges of signal. The scheme meets the signal reconstruction conditions. This scheme used MATLB to detect transient or steady state with single or composite disturbance signals and compared with the ex-isting form of sampling wavelet. The result shows that the new MUDW scheme can recognize and detect the signal and has good anti-noise performance.