Work

Cable fault detection based on enhanced spread spectrum time domain reflectometry

Year: 2025

Type: article

Abstract: Spread spectrum time domain reflectometry (SSTDR) is applicable for cable fault detection, effectively ensuring the safety of power generation systems. However, the superposition effect between the reflected and incident signals can significantly disrupt the correlation calculation between these signals. To address this issue, this paper introduces a novel cable fault detection method based on enhanced spread spectrum time domain reflectometry (ESSTDR). This approach removes the incident signal component from the acquired waveform, thereby mitigating its interference with the reflected signal and enhancing reflective characteristics. Additionally, a relative difference amplitude index is proposed to quantitatively assess the noise suppression capability of this method. Through comparative experiments encompassing various fault levels, this study demonstrates that ESSTDR outperforms SSTDR in terms of detection performance. This paper also proposes a fault severity assessment model based on the double exponential function and compares the performance of different fault features. The results show that the standard deviation of the reflected waveform is more suitable for reflecting the fault severity.

Source: AIP Advances

DOI: 10.1063/5.0252677

Authors: Xinwen Ma, Zhendong Yin

Institution: Yangzhou University

Language: English

Topic: Electrical Fault Detection and Protection

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,350

Funder: Ministry of Education of the People's Republic of China