PENGUKURAN PARTIAL DISCHARGE SECARA ONLINE SEBAGAI ALAT PEMELIHARAAN PREDIKTIF PADA BELITAN STATOR MOTOR DAN GENERATOR
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Pasaribu, Better
Soewono, Soetjipto
Soewono, Soetjipto
Subject
Teknik Elektro
Datestamp
2022-12-02 02:59:09
Abstract :
Online partial discharge measurements on motors and generators are widely applied in the industry to support predictive maintenance programs for machines. obstacles in analyzing partial discharge data measured online sometimes make the utilization of online partial discharge data less than optimal. Partial discharge data collected from 116-unit machines with rated voltages from 6.3 kV to 28 kV with air and gas hydrogen cooling systems machines. Analysis of partial discharge data was carried out for several machines that were failed in services or on machines where evidence of damages to the stator insulation were found due to partial discharge during a visual inspection or offline test results. This analysis suggests that the increasing trend of partial discharge within a certain period is a very important parameter to know that there is an insulation failure process that is happening to the motor and generator stator. It was also found that insulation failure that occurred showed different pulse pattern from one partial discharge event to another. Data also shows that the type of hydrogen cooling in the machines is more effective in suppressing partial discharge.
Online partial discharge measurements on motors and generators are widely applied in the industry to support predictive maintenance programs for machines. obstacles in analyzing partial discharge data measured online sometimes make the utilization of online partial discharge data less than optimal. Partial discharge data collected from 116-unit machines with rated voltages from 6.3 kV to 28 kV with air and gas hydrogen cooling systems machines. Analysis of partial discharge data was carried out for several machines that were failed in services or on machines where evidence of damages to the stator insulation were found due to partial discharge during a visual inspection or offline test results. This analysis suggests that the increasing trend of partial discharge within a certain period is a very important parameter to know that there is an insulation failure process that is happening to the motor and generator stator. It was also found that insulation failure that occurred showed different pulse pattern from one partial discharge event to another. Data also shows that the type of hydrogen cooling in the machines is more effective in suppressing partial discharge.
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