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针对目前配电柜故障电弧检测技术存在的漏检率和误报率高的问题,结合多传感器信息融合技术在故障检测技术中的应用,提出了基于联合卡尔曼滤波器的故障电弧检测技术。该技术可以对采集到多个不同故障电弧故障特征进行实时滤波,能够很好地消除噪声干扰和提高信噪比,进一步提高故障电弧检测的准确性和可靠性,完善系统的容错能力和复原能力。仿真结果也表明改进的检测技术具有良好的实时性和准确性。
Aiming at the existing problems of low detection rate and false positive rate in the fault arc detection technology of distribution cabinet, combined with the application of multi-sensor information fusion technology in fault detection technology, a fault arc detection technique based on joint Kalman filter is proposed. This technology can filter multiple fault arc faults collected in real-time, eliminate noise and improve signal to noise ratio, further improve the accuracy and reliability of fault arc detection, and improve the system’s fault tolerance and resilience . Simulation results also show that the improved detection technology has good real-time and accuracy.