Off-line and On-line Automatic and Unsupervised Partial Discharge Diagnostics of Electrical Asset Components

Simple item page
dc.contributor.authorPattanadech, Norasage
dc.contributor.authorJeenmuang, Siwakorn
dc.contributor.authorUdomluksananon, Patt
dc.contributor.authorChumpiboon, Komin
dc.contributor.authorShafiq, Muhammad
dc.contributor.authorMyneni, Sukesh Babu
dc.contributor.authorMontanari, Gian Carlo
dc.date.accessioned2026-08-06T10:43:26Z
dc.date.available2026-08-06T10:43:26Z
dc.date.issued2024-01-01
dc.description.abstractThis paper deals with applications of an innovative approach to on-line and off-line partial discharge (PD)-based condition maintenance, where PD detection and analytics are fully automatic and do not require the support of PD experts. PD was measured off-line on a 50 kV A, 22/0.4 kV distribution transformer and on 115 and 230 kV transformer bushings, showing in both cases that PD can be detected and analyzed automatically according to the SID (Separation, Recognition, Identification) procedure. On-line measurements performed on MV generators are also reported and discussed, highlighting that there is potential for on-line MV (and HV) monitoring with automatic and unsupervised noise rejection, and identification of PD phenomena that can feed health assessment software to reach optimized maintenance plans.
dc.identifier.citation2024 10th International Conference on Condition Monitoring and Diagnosis Cmd 2024, 258-263, 2024
dc.identifier.doi10.23919/CMD62064.2024.10766207
dc.identifier.other2-s2.0-85214386823
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14934
dc.source2024 10th International Conference on Condition Monitoring and Diagnosis Cmd 2024
dc.subjectdistribution transformer
dc.subjecthealth assessment
dc.subjectnoise rejection
dc.subjectpartial discharge
dc.subjectpolymeric cable systems
dc.titleOff-line and On-line Automatic and Unsupervised Partial Discharge Diagnostics of Electrical Asset Components
dc.typeConference Paper

Files

Collections

Research