Condition Assessment of IC Cables in Nuclear Power Plants via Stepped-Frequency Waveform Reflectometry

Chun Kwon Lee, Gu Young Kwon, Yong June Shin

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A nuclear power plant (NPP) depends on instrumentation and control (IC) systems to ensure its safe and efficient operation. In particular, IC cables take on the pivotal role of measuring and controlling the critical equipment of the NPP. Thus, it is indubitable that the diagnostic technology of IC cables for detecting faults and accurately assessing their health status is required for ensuring the safety and reliability of the NPP operation. We propose a diagnostic method that combines fault detection and evaluation algorithm for the IC cables with stepped-frequency waveform reflectometry with signal propagation and reflection modeling. The signal modeling allows the assessment of the fault with an estimated reflection coefficient by separating the propagation and reflection effects of the measured signal. In short, cable faults are differentiated and quantified regardless of distance. The proposed algorithm is verified by characteristic impedance measurement, various fault detection/evaluation experiments, and the fault evaluation of local accelerated thermal aging cable.

Original languageEnglish
Article number8376103
Pages (from-to)215-224
Number of pages10
JournalIEEE Transactions on Instrumentation and Measurement
Volume68
Issue number1
DOIs
Publication statusPublished - 2019 Jan

Bibliographical note

Funding Information:
Manuscript received December 10, 2017; revised March 9, 2018; accepted April 9, 2018. Date of publication June 11, 2018; date of current version December 7, 2018. This work was supported in part by the National Research Foundation of Korea through the Ministry of Science, ICT and Future Planning under Grant NRF-2017R1A2A1A05001022 and in part by the National Research Foundation of Korea through the framework of International Cooperation Program under Grant 2016K2A9A1A03905116. The Associate Editor coordinating the review process was Christoph Baer. (Corresponding author: Yong-June Shin.) The authors are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: yongjune@yonsei.ac.kr).

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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