基于动态窗模极大值的暂态扰动自动检测

针对传统模极大检测算法暂态电能质量扰动持续时间短、 随机性以及过零点难以检测等问题, 提出基于动态窗的改进小波模极大值暂态信号扰动检测方法。 对过零点时刻的扰动, 在动态窗检测的基础上, 通过系数变换, 改善过零点时刻检测不明显的问题。 运用 Matlab 软件进行的计算机仿真结果表明, 该方法能准确地对暂态电能质量扰动进行检测与定位, 精度较高且易于实现。

Disturbance Automatic Detection Based on Dynamic Window Modulus Maxima Transient

Because short duration, randomness and zero point are hard to detect for transient power quality disturbance, a transient signal disturbance detection method based on dynamic window of improved wavelet modulus maxima is presented. For passing zero point disturbance, on the basis of dynamic detection window, through the coefficient of transformation, improve the unconspicuous problem of the passing zero point. Simulation results show that the method can accurately detect and locate the transient power quality disturbances, precision is high and easy to implement.