Fault detection and localization of an electrical cable are essential to prevent a serious accident of cable system originated from the cable failure. Despite the outstanding performance in fault detection and localization, time-frequency domain refletometry (TFDR) faces an important issue of reliability of the diagnostic result. In this paper, skewness of time-frequency cross-correlation is used as the additional index to examine the existence of the unrevealed fault. In order to verify the validity of the proposed method, simulation is carried out with various types of fault occurrence circumstances. The analytic discussion on the simulation results is presented, and it is found to support effectiveness of the proposed method. It is expected that the proposed method will contribute to enhance the diagnostic performance of TFDR.
|Title of host publication||2018 IEEE 2nd International Conference on Dielectrics, ICD 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2018 Sep 19|
|Event||2nd IEEE International Conference on Dielectrics, ICD 2018 - Budapest, Hungary|
Duration: 2018 Jul 1 → 2018 Jul 5
|Name||2018 IEEE 2nd International Conference on Dielectrics, ICD 2018|
|Other||2nd IEEE International Conference on Dielectrics, ICD 2018|
|Period||18/7/1 → 18/7/5|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science, ICT & Future Planning, #NRF-2017R1A2A1A05001022. This work was also supported under the framework of international cooperation program managed by the National Research Foundation of Korea (2016K2A9A1A03905116).
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials