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Title: Noise Filtration Technique for Partial Discharge Diagnosis on Instrument Transformer using Statistical Tools
Authors: Chua Chun Piau 
Chong Yu Ping 
Yasmin Hanum Md Thayoob 
Syed Khaleel Ahmed 
Yogendra Balasubramaniam 
Issue Date: 2015
Conference: The 3rd National Graduate Conference (NatGrad2015), Universiti Tenaga Nasional, Putrajaya Campus, 8-9 April 2015 
Abstract: Partial Discharge (PD) detection is an important method to evaluate the insulation condition of an instrument transformer (IT). Well known method like dissolved gas analysis (DGA) test requires the IT to be tested offline with complicated procedures to extract and refill back the oil to the IT. Nevertheless, DGA has been used to confirm incipient problems detected with other testing methods. High frequency current transformer (HFCT) is an alternative technique as non-intrusive PD measurement, which can be done on in-service IT; however, the limitation of this measurement is that it is easily susceptible to interference and disturbance found in any substations which superposed or dominated with PD signal. Hence, a noise filtration technique is proposed for filtering interference and disturbance using statistical parameters.
Appears in Collections:COGS Scholarly Publication

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