Medium-voltage three-core cables are widely used in power systems. Their single-phase ground faults not only threaten power supply safety but also pose challenges for fault location and troubleshooting. Traditional fault diagnosis methods based on single-source signals suffer from low data redundancy, insufficient interference resistance, and poor real-time performance. This paper proposes a distributed intelligent diagnostic method for single-phase ground faults in medium-voltage three-core cables by integrating multi-source traveling wave data. The method first establishes a cable traveling wave propagation model and extracts key features to characterize signal differences under various fault modes. Subsequently, it designs a fusion mechanism for multi-point traveling wave data and employs intelligent algorithms to achieve high-precision fault identification. Finally, a distributed diagnostic framework is constructed. Through the collaboration between edge nodes and central nodes, the real-time capability and reliability of the diagnostic system are enhanced. Simulation and experimental results demonstrate that this method maintains high localization accuracy and robustness even under complex operating conditions, showing significant advantages over traditional methods. The research findings provide new technical insights and engineering references for rapid fault location and intelligent operation and maintenance of medium-voltage cables.
Wang et al. (Sun,) studied this question.