Diagnosis of Wiring Networks Using Reflectometry and the Inception-ResNet V2 Network

Fault diagnosis in wiring networks is crucial for reliable industrial system operation. This paper introduces a novel method combining Time Domain Reflectometry (TDR) with the Inception-ResNet V2 network for fault diagnosis. By converting TDR signals into images, resized images are fed into the Inception-ResNet V2 network using transfer learning. The benefits of this method include efficient convolutions for real-time detection, and no need for predefined transformations or manual feature extraction. Its feasibility is proven with application to a common wiring network configuration.