Diagnosis of cables in nuclear power plants using joint time-frequency domain reflectometry

Chun Kwon Lee, David Lee Coats, Chun Ku Lee, Seung Jin Chang, Jin Bae Park, Yong June Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a new methodology which is referred as joint time-frequency domain reflectometry (JTFDR) is proposed to detect and to locate faults of control and instrumental cables in nuclear power plants. Since this method considers information both in time and frequency domain at the same time, we use a linearly increasing Gaussian envelope chirp reference signal as an incident signal which has a adjustable time duration and frequency bandwidth together. After calculating the time-frequency cross-correlation function with two distribution signals, we can determine the fault distance using time delay between the peak of the incident and reflected signals in the cross-correlation. The usefulness of the proposed method in nuclear power plants is verified by the experiments. Experimental results show that JTFDR can be the reliable method for diagnosis of control and instrumentation cables in the nuclear power plants.

Original languageEnglish
Title of host publication3rd IFAC Symposium on Telematics Applications, TA 2013 - Proceedings
PublisherIFAC Secretariat
Pages74-78
Number of pages5
EditionPART 1
ISBN (Print)9783902823564
DOIs
Publication statusPublished - 2013
Event3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of
Duration: 2013 Nov 112013 Nov 13

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume3
ISSN (Print)1474-6670

Other

Other3rd IFAC Symposium on Telematics Applications, TA 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period13/11/1113/11/13

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF)grant funded by the Korea government (MEST)# NRF-2012M2A8A4055236

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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