Characterization of Phase Resolved Partial Discharge waveforms from instrument transformer using statistical signal processing technique

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Thayoob Y.H.M.
Ahmed S.K.
Piau C.C.
Ping C.Y.
Balasubramaniam Y.
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Institute of Electrical and Electronics Engineers Inc.
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Partial Discharge (PD) detection is one of the important methods used to evaluate the insulation condition of in-service high voltage (HV) electrical equipment. On-site PD detection methods are preferred compared to other methods as non-intrusive sensors are easier to install and have no interruptions on the operation. An electrical PD testing utilizing High Frequency Current Transformer (HFCT) installed at the ground terminal of the in-service instrument transformer was used to detect partial discharge activities. However, the limitation of this method is the measurement often lacks of accuracy due to interference in the measured PD waveforms. Therefore, such PD signals are hard to be distinguished from the stochastic noise pulses. Hence, the characteristics of PD signals and interference signals are studied in the Phase Resolved Partial Discharge (PRPD) pattern in order to identify the extent of PD occurrence in the signals. The discharge magnitude could increase significantly because of the noise signals superposed with PD signals. Therefore a method that can remove high magnitude noise will be proposed by using statistical signal processing technique. � 2015 IEEE.
Electric instrument transformers; Electric transformer testing; Electric transformers; Electric waveforms; High frequency transformers; Image processing; Instrument testing; Partial discharges; Signal detection; Stochastic systems; High frequency current transformers; inteferences; Non-intrusive sensors; Partial discharge activity; Partial discharge detection; Phase resolved partial discharge patterns; Phase resolved partial discharges; Statistical signal processing; Signal processing