Application of Enhanced Optimal-Detection of Time-Frequency Domain Reflectometry on HTS Cable With High-Resolution

Hobin Lim, Yeong Ho Lee, Su Sik Bang, Yong June Shin

Research output: Contribution to journalArticlepeer-review


Time-frequency domain reflectometry (TFDR) has been used for sensing various types of cables including high temperature superconducting (HTS) cables. Recently, the optimal-detection of time-frequency domain reflectometry (OD-TFDR) has been proposed and has better detection and localization performance than conventional TFDR. Additionally, OD-TFDR has provided a threshold that can distinguish detected signals from Gaussian noise. However, OD-TFDR does not provide a criterion for classifying the detected signals into fault signals and artifacts. Furthermore, the diagnosis result of OD-TFDR is not intuitive because an additional tool is needed to locate each fault. Thus, this paper proposes a new diagnosis algorithm that can provides a criterion for distinguishing between artifacts and faults by considering the propagation direction of the incident signal in the join time-frequency domain while preserving the detection and localization performance of OD-TFDR. Through a template matching process of generalized time-frequency cross-correlation (GTFCC), the core algorithm of OD-TFDR, a modified-generalized time-frequency cross-correlation (M-GTFCC) function is derived. Next, a modified-time-frequency cross-correlation (M-TFCC) function is derived by slicing the M-GTFCC function considering the propagation direction of signal. Finally, M-TFCC function is proposed as a new intuitive diagnosis result with artifact-free and high-resolution. The performance of the proposed algorithm is tested via experimental setup for a real-world single phase HTS cable with an emulated local quench by heating element, and the efficacy of the proposed algorithm is verified based on three performances: fault detection, locating accuracy, and resolution.

Original languageEnglish
Article number9000306
JournalIEEE Transactions on Applied Superconductivity
Issue number5
Publication statusPublished - 2023 Aug 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2020R1A2B5B03001692.

Publisher Copyright:
© 2002-2011 IEEE.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


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