Signal quality is the key
issue for maintaining effective power transmission in electrical networks. In
most cases, a high voltage (HV) is transmitted in power systems to decrease
power loss. Power quality disturbances are monitored by observing the noise
degradation of HV signals. Increased oscillations and high-frequency components
of power signals exhibit nonstationary signal characteristics. In this study, a
comparative analysis of empirical mode decomposition (EMD) and variational mode
decomposition (VMD) was conducted on noisy discharge signals. These techniques
were used for adaptive signal decomposition in the time domain, facilitating
the evaluation of deeper characteristics of the investigated signal. The HV
discharges were obtained using 0.4/40 kV and 8 kVA transformers in a
laboratory, and all the current and voltage signal waveforms were recorded
using high-frequency current and high-voltage probes. The results demonstrate
distinct calculations of EMD and VMD techniques in terms of signal
decomposition and extracting intrinsic mode functions (IMFs), which define low-
and high-frequency components.
Empirical mode decomposition variational mode decomposition intrinsic mode functions discharge
Primary Language | English |
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Subjects | Engineering |
Journal Section | Articles |
Authors | |
Publication Date | February 23, 2018 |
Published in Issue | Year 2018 Volume: 18 Issue: 1 |