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S变换作为一种信号分析工具,由于其高斯窗口函数形态固定,在实际应用中受到限制。广义S变换采用自适应高斯窗口函数,使其对暂态电能质量扰动信号的检测分析具有了更高的适应性和灵活性。提出了一种利用时频聚集特性准则来选取高斯窗口函数调节参数的广义S变换改进方法,基本思想是通过对高斯窗口函数调节参数的优化选取,使得广义S变换在分析信号过程中的时频聚集特性值达到最大,这样可以使信号在任意一点都具有较高的时频分辨率。通过仿真与实验的对比分析,结果表明该方法在暂态电能质量信号方面具有更高的检测精度以及信号去噪能力。
S transform as a signal analysis tool, due to its Gaussian window shape fixed function, limited in practical applications. The generalized S transform adopts adaptive Gaussian window function, which makes it more adaptable and flexible to the detection and analysis of transient power quality disturbance signals. An improved method of generalized S transform which takes Gaussian window function adjustment parameters by using the criteria of time-frequency aggregation is proposed. The basic idea is to optimize the parameters of Gaussian window function adjustment so that the time-frequency Aggregate property values are maximized so that the signal has a high time-frequency resolution at any point. The results of simulation and experiment show that this method has higher detection accuracy and signal denoising ability in transient power quality signal.