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A tool for fault and power quality disturbance analysis in oscillographic records

机译:示波器记录中故障和电能质量扰动分析的工具

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This paper presents a useful tool to support the development of wavelet-based methods for: fault detection; power quality disturbance detection (voltage sags, transmission line energization and deenergization, capacitor bank switching, etc.); fault classification; and fault location. The disturbance features can be graphically identified by means of the voltage and current waveform analysis (phase A, B, C, and/or neutral) and their related wavelet coefficients, approximation coefficients, energies of the wavelet coefficients, and other wavelet features at various scales. The features of some actual records extracted by means of this tool and how it can be used in order to perform wavelet-based diagnostic methods are also addressed in the paper.
机译:本文提出了一个有用的工具来支持基于小波的方法的发展:电能质量扰动检测(电压骤降,传输线通电和断电,电容器组切换等);故障分类;和故障位置。可以通过电压和电流波形分析(相A,B,C和/或中性线)及其相关的小波系数,近似系数,小波系数的能量以及其他各种状态下的小波特征,以图形方式识别干扰特征秤。本文还讨论了通过此工具提取的一些实际记录的功能,以及如何使用这些记录来执行基于小波的诊断方法。

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