The article proposes an intelligent system solution based on wireless communication and machine learning.The system realizes real-time monitoring of distribution networks by deploying wireless sensor networks,adopts an improved Support Vector Machine(SVM)algorithm for fault detection,and introduces the impedance method to realize accurate fault localization.A highly simulated experimental platform is built to comprehensively evaluate the system's transmission performance,detection accuracy and localization error.The experimental results show that the system is capable of realizing high-precision fault detection and localization in a low signal-to-noise ratio environment,providing a new solution idea for power distribution automation.
关键词
配电网/故障检测/无线通信/机器学习
Key words
distribution network/fault detection/wireless communication/machine learning
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