为此提出用短时李氏指数检测电能质量扰动的方法。
Therefore, and approach to the detection of power quality disturbance using short duration Lipschitz exponent is presented.
针对电能质量的短时扰动的分类问题，提出了一种基于广义s变换和模糊模式识别的短时电能质量的分类方法。
A new approach of classification of short duration power quality disturbances using generalized S-transform and fuzzy pattern recognition is proposed.
随着各种敏感电力电子设备在工业中的广泛应用，诸如短时低电压、短时过电压等电能质量扰动问题已成为近年来各方面关注的焦点。
With the wide application of sensitive power electronic devices in industry, the power quality disturbance problems such as voltage sag and swell become more concerned.
对于短时低电压扰动发生、恢复时刻的检测与定位则是电能质量监测和统计中获取相关指标首先要解决的问题。
The detection and location of the start point and end point of the voltage sag and swell is a key problem for the power quality monitoring.
对于短时低电压扰动发生、恢复时刻的检测与定位则是电能质量监测和统计中获取相关指标首先要解决的问题。
The detection and location of the start point and end point of the voltage sag and swell is a key problem for the power quality monitoring.
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