A series ac arc fault detection method based only on the voltage waveform measured at the power source is implemented. A relay de-energizes the arc fault after receiving an arc fault detected signal. Traditional arc fault detection methods use the current waveform, which may have false alarms with loads, such as electric hand drills (which intentionally generate small electric arcs) and dimmer switches because they show similar energy characteristics to an arc fault. However, in the proposed voltage-based method, a symmetric energy profile is observed, unique to the arc fault, which allows improved detection. This symmetry in the voltage waveform is exploited to derive threshold values from the sample energy that are eventually used to detect the ac arc fault. The approach avoids non-stationary signal analysis, machine learning, and advanced filtering techniques. The experimental results validate that the algorithm can successfully detect an arc fault and avoid common unwanted tripping events. Finally, devices, such as surge protectors will be able to integrate this detection algorithm without the addition of current sensors.

中文翻译：

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仅使用电压波形清除串联交流电弧故障并避免误报

实现了仅基于在电源处测量的电压波形的串联交流电弧故障检测方法。继电器在接收到电弧故障检测信号后使电弧故障断电。传统的电弧故障检测方法使用电流波形，这可能会对负载产生误报，例如手电钻（故意产生小电弧）和调光开关，因为它们显示出与电弧故障相似的能量特性。然而，在所提出的基于电压的方法中，观察到对称的能量分布，这是电弧故障所独有的，这允许改进检测。利用电压波形中的这种对称性从最终用于检测交流电弧故障的样本能量中导出阈值。该方法避免了非平稳信号分析、机器学习、和先进的过滤技术。实验结果验证了该算法可以成功检测电弧故障并避免常见的意外跳闸事件。最后，浪涌保护器等设备将能够在不添加电流传感器的情况下集成此检测算法。