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.
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