Abstract
Utilities are experiencing premature failures of power cables. In order to prevent electrical outages and to save on repair expenses, a nondestructive and nonintrusive condition assessment technique is highly desirable to evaluate the cable status and to predict the remaining life of a cable. In this paper, the capability of joint time-frequency domain reflectometry (JTFDR) as such a condition assessment technique is studied. The health status of three popular insulations in power system cables - cross-linked polyethylene, ethylene propylene rubber, and silicone rubber - is monitored using the JTFDR in a thermal accelerated aging test. The experimental results show that the JTFDR can successfully monitor the aging process of all three insulations. Then, the results from the JTFDR are compared with the results from the elongation at break (EAB); the results show that the JTFDR technique is comparable with the EAB and has a great potential as a nondestructive and nonintrusive condition assessment technique.
Original language | English |
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Article number | 5621911 |
Pages (from-to) | 1047-1053 |
Number of pages | 7 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Volume | 60 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2011 Mar |
Bibliographical note
Funding Information:Manuscript received March 24, 2010; revised June 1, 2010; accepted June 16, 2010. Date of publication November 9, 2010; date of current version February 9, 2011. This work was supported in part by the National Science Foundation under Grant 0747681, “CAREER: Diagnostics and Prognostics of Electric Cables in Aging Power Infrastructure,” by the U.S. Office of Naval Research under Grants N00014-02-1-0623 and N00014-03-1-0434, “Electric Ship Research and Development Consortium,” and by the U.S. Nuclear Regulatory Commission under Grant NRC-04-09-156, “Joint Time-Frequency Domain Reflectometry for Diagnostics/Prognostics of Aging Electric Cables in Nuclear Power Plants.” The Associate Editor coordinating the review process for this paper was Dr. Sergey Kharkovsky.
All Science Journal Classification (ASJC) codes
- Instrumentation
- Electrical and Electronic Engineering