Fault Detection and Localization of Shielded Cable via Optimal Detection of Time-Frequency-Domain Reflectometry

Hobin Lim; Gu Young Kwon; Yong June Shin

doi:10.1109/TIM.2021.3092514

Fault Detection and Localization of Shielded Cable via Optimal Detection of Time-Frequency-Domain Reflectometry

Hobin Lim, Gu Young Kwon, Yong June Shin

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

In recent years, as reliance on factory automation increases, real-time surveillance techniques for electrical systems have received substantial attention. In particular, the fault diagnosis of shielded cables has become crucial in the industrial sector due to their roles in interconnecting each electrical element. The time-frequency-domain reflectometry (TFDR), which is an advanced cable diagnostic technique, has been used to diagnose various types of shielded cable with high accuracy in fault location. However, in the case of reflected signals with a low signal-to-noise ratio (SNR) caused by any soft faults, the method faces ambiguities in interpreting the presence of failures and locating the faults. Thus, this article proposes an algorithm that simultaneously enhances the fault detection and localization performance of TFDR. In addition, the proposed method provides a statistical model-based threshold for fault detection. The performance of the proposed algorithm is tested via three experiments on actual shielded cables, and the efficacy of the proposed method is verified based on statistical analyses with theoretical discussion.

Original language	English
Article number	9473063
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	70
DOIs	https://doi.org/10.1109/TIM.2021.3092514
Publication status	Published - 2021

Bibliographical note

Funding Information:
Manuscript received May 27, 2021; accepted June 4, 2021. Date of publication July 2, 2021; date of current version July 14, 2021. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2020R1A2B5B03001692. The Associate Editor coordinating the review process was Dr. Valentina Cosentino. (Corresponding author: Yong-June Shin.) The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03772, South Korea (e-mail: yongjune@yonsei.ac.kr). Digital Object Identifier 10.1109/TIM.2021.3092514

Publisher Copyright:
© 1963-2012 IEEE.

All Science Journal Classification (ASJC) codes

Instrumentation
Electrical and Electronic Engineering

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10.1109/TIM.2021.3092514

Cite this

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abstract = "In recent years, as reliance on factory automation increases, real-time surveillance techniques for electrical systems have received substantial attention. In particular, the fault diagnosis of shielded cables has become crucial in the industrial sector due to their roles in interconnecting each electrical element. The time-frequency-domain reflectometry (TFDR), which is an advanced cable diagnostic technique, has been used to diagnose various types of shielded cable with high accuracy in fault location. However, in the case of reflected signals with a low signal-to-noise ratio (SNR) caused by any soft faults, the method faces ambiguities in interpreting the presence of failures and locating the faults. Thus, this article proposes an algorithm that simultaneously enhances the fault detection and localization performance of TFDR. In addition, the proposed method provides a statistical model-based threshold for fault detection. The performance of the proposed algorithm is tested via three experiments on actual shielded cables, and the efficacy of the proposed method is verified based on statistical analyses with theoretical discussion.",

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note = "Funding Information: Manuscript received May 27, 2021; accepted June 4, 2021. Date of publication July 2, 2021; date of current version July 14, 2021. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT and Future Planning under Grant NRF-2020R1A2B5B03001692. The Associate Editor coordinating the review process was Dr. Valentina Cosentino. (Corresponding author: Yong-June Shin.) The authors are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03772, South Korea (e-mail: yongjune@yonsei.ac.kr). Digital Object Identifier 10.1109/TIM.2021.3092514 Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

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Fault Detection and Localization of Shielded Cable via Optimal Detection of Time-Frequency-Domain Reflectometry

Abstract

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