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Partial discharge (PD) measurement has been widely adopted for condition assessment of transformers. The major tasks include effective extraction of PD signals from measured signals, accurate representation of PD signals, explicit multiple PD source separation, and PD source classification. This paper applies empirical mode decomposition (EMD) and mathematical morphology (MM) for extracting PD signals...
Partial discharge (PD) monitoring can reveal various types of insulation defects and provide an effective means for condition assessment of high voltage (HV) equipment. One of the challenging tasks of PD monitoring is to effectively extract PD signals from acquired signals, which are susceptible to extensive noise. The extracted PD signals can then be further processed for identifying the insulation...
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