Title: Leakage current detection method of electrical insulation materials based on windowed-added Fourier transform

Authors: Yulin Zhuang

Addresses: Guangdong University of Technology, Electrical Engineering and Automation, Guangzhou 511495, China

Abstract: In order to effectively solve the disadvantages of low accuracy of leakage feature recognition and low accuracy of detection results in traditional leakage current detection methods, a leakage current detection method of electrical insulating materials based on windowed Fourier transform is proposed. Firstly, the windowed Fourier transform process is analysed to judge the related properties of leakage current signal. Then, the leakage current detection unit is designed by using the insulation equivalent model, leakage current detector, self-excited oscillator, second-order low-pass filter and windowed Fourier transform process. Finally, based on the leakage characteristics of electrical insulation materials, the leakage current detection process is designed to complete the leakage current detection of electrical insulation materials. The results show that the recognition accuracy of leakage characteristics is always above 95%.

Keywords: electrical insulation materials; leakage current; leakage detection; windowed-added Fourier transform; feature recognition.

DOI: 10.1504/IJMPT.2023.127958

International Journal of Materials and Product Technology, 2023 Vol.66 No.1, pp.31 - 42

Received: 21 Oct 2021
Accepted: 14 Mar 2022
Published online: 22 Dec 2022 *