The joint time‐frequency representation (TFR) provides the useful hidden information of a nonstationary signal consisting of several components. The time‐frequency analysis methods with high resolution are of utmost importance in visual localization and recognition of nonstationary waveform in power quality (PQ) disturbance signals. This paper introduces a newly developed TFR technique known as synchroextracting transform (SET) for the detection and identification of various kinds of single and combined nonstationary PQ disturbances. The SET is a high‐resolution TFR technique that belongs to a post‐processing procedure of short‐time Fourier transform (STFT) incorporating components of mode decomposition and signal reconstruction. The SET aims to retain the TF information related to time‐varying features of the signal and removes most smeared TF energy. In the case studies considered here, several PQ disturbance signals are thoroughly analyzed by using SET.

中文翻译：

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利用同步提取变换对电能质量扰动进行时频分析

联合时频表示（TFR）提供了由几个分量组成的非平稳信号的有用隐藏信息。高分辨率的时频分析方法对于视觉定位和电能质量（PQ）干扰信号中的非平稳波形的识别至关重要。本文介绍了一种最新开发的TFR技术，称为同步提取变换（SET），用于检测和识别各种单一和组合的非平稳PQ干扰。SET是一种高分辨率TFR技术，属于短时傅立叶变换（STFT）的后处理程序，其中包含模式分解和信号重构的组件。SET旨在保留与信号随时间变化的特征有关的TF信息，并消除大部分拖尾的TF能量。在这里考虑的案例研究中，使用SET对多个PQ干扰信号进行了彻底分析。