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.
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.
暂态电能质量问题越来越突出，如电压跌落、骤升、短时断电等现象经常发生，给用户带来了很大的损失。
Transient power quality issues have been becoming extrusive, such as voltage well, voltage sag and voltage interruption, and bring customers amount of loss.
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