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High voltage power fault-detection and analysis system: design and implementation

机译:高压电源故障检测和分析系统:设计与实现

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This paper investigates the design and implementation of an enhanced fault detection system in the high voltage (HV) power system. We introduce some typical signals which are important for the fault detection in the HV power system and describethree mathematical techniques for the date analysis: auto-correlation to analyze the degree of the raw input signal's distortion, FFT to extract the information of the error signals in the frequency domain, granule to classify the error signals. Byimplementation of those algorithms, we can not only realize the fault tolerance and fault detection but also indicate the fault severity. The simulation of those mathematical techniques is presented using the examples of the practical pole voltage andphase current signals in the HV power system.
机译:本文研究了高压(HV)电力系统中增强故障检测系统的设计和实现。我们介绍了一些典型的信号对于HV电力系统中的故障检测非常重要,并描述了日期分析的数学技术:自动相关性以分析原始输入信号的失真度,FFT提取错误信号的信息频域,颗粒分类误差信号。通过识别这些算法,我们不仅可以实现容错和故障检测,还可以指示故障严重程度。使用HV电力系统中的实际极电压和相位电流信号的示例来提出这些数学技术的模拟。

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