In this paper, new time-frequency-based anomaly detection methodology is proposed for the condition monitoring of high-temperature superconducting (HTS) cable systems. The time-frequency-based anomaly detection methodology includes two indices, which are obtained via cross Wigner-Ville distribution and scattering parameter. For the validation of the proposed methodology, the methodology is applied to an ac 22.9-kV/50-MVA HTS cable system connected to the real power grid network. Furthermore, the changes in dielectric properties of the HTS cable system during the cooling process and the current imbalance failure are monitored. The proposed anomaly detection indices are shown to be able to detect the heat and the current imbalance caused by the malfunction of the joint box. For the application of the two validated indices, new anomaly detection procedure for HTS cable systems is also presented.
Bibliographical noteFunding Information:
Manuscript received April 1, 2018; revised July 28, 2018 and September 22, 2018; accepted October 28, 2018. Date of publication November 22, 2018; date of current version May 31, 2019. This work was supported in part by the National Research Foundation of Korea (NRF) under Grant NRF-2017R1A2A1A05001022 funded by the Ministry of Science, ICT, and Future Planning, and in part by the Korea Electric Power Corporation Research Institute. (Corresponding author: Yong-June Shin.) G. S. Lee, S. S. Bang, G.-Y. Kwon, Y. H. Lee, and Y.-J. Shin are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail:,email@example.com).
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering