Open AccessPartial discharge detection and identification at low air pressure in noisy environment
Author(s) -
Nasr Esfahani Ali,
Shahabi Saeed,
Kordi Behzad
Publication year - 2021
Publication title -
high voltage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 20
ISSN - 2397-7264
DOI - 10.1049/hve2.12101
Subject(s) - partial discharge , waveform , voltage , acoustics , robustness (evolution) , noise (video) , amplitude , insulation system , electrical engineering , wavelet , electrical impedance , electronic engineering , materials science , computer science , engineering , physics , biochemistry , chemistry , quantum mechanics , artificial intelligence , image (mathematics) , gene
Increasing demand for electric power in more electric aircraft requires a higher operating voltage for the power system that leads to higher electric stress on the insulation system. Operating at high altitudes where the electrical strength of air is weakened exposes the insulation system to even higher levels of electrical stress. As such, the probability of partial discharges (PD), which result in insulation degradation and failure, is higher. The presence of switching circuits in the power distribution system of the more electric aircraft is capable of producing high levels of noise. This noise in combination with the background noise and parasitic impedances will cause high amplitude ringing in the measured partial discharge signal waveform. Here, a method based on the combination of the wavelet and energy techniques is employed to detect PD pulses in a noisy environment under the low air pressure condition. To verify the technique, a laboratory setup consisting of two separate PD sources mounted in low air pressure (33 kPa) chamber is developed where sine and square waveforms are used as the applied voltage. The obtained results demonstrate that the proposed approach offers low computational complexity, high performance in PD phase localization, and robustness in a noisy environment.