@inproceedings{9d06b518252e4909bd097c4dea03abce,
title = "The Non-contact Signal Measurement and Compensation Method Based on Improved Non-Negative Tikhonov Regularization within the Bayesian Framework",
abstract = "Cross-linked polyethylene (XLPE) power cables are widely used in urban power grid construction. Due to the typically harsh operating environments, the cables are susceptible to moisture intrusion and mechanical stress. Therefore, improving the effectiveness and reliability of local defect detection and localization methods for cables is of greater practical significance. Stepped Frequency Waveform Reflectometry (SFWR) technology can be applied to various measurement and diagnostic scenarios, including online fault detection of cables. The working power of XLPE power cables is much greater than the rated power of the signal generator and oscilloscope of the detection equipment, so voltage conversion probes need to be introduced during online testing. Distortion caused by the signal passing through the probe can lead to inaccurate localization results. To address this, this paper proposes an improved signal compensation method based on the Bayesian inference-based Non-Negative Tikhonov Regularization method to compensate for the signal attenuation passing through the probe during online detection.",
keywords = "cable fault detection, online detection, probe, SFWR, signal distortion, the Non-negative Tikhonov Regularization Method with Bayesian",
author = "Yuyang He and Lixin Wang and Kaixing Chang and Shaocong Li",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th IEEE Reliability and Prognostics and Health Management Conference, PHM-Xian 2025 ; Conference date: 10-10-2025 Through 12-10-2025",
year = "2025",
doi = "10.1109/PHM-Xian66756.2025.11427593",
language = "英语",
series = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Huimin Wang and Steven Li",
booktitle = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
address = "美国",
}