The importance of correlating dynamics when performing partial discharge measurements and analysis

Author

Kane, Claude ; Golubev, Alexander ; Blokhintsev, Igor ; Patterson, Calvin ; Astasiewicz, Richard

Author_Institution

Eaton Electr. Predicative Diagnostics, Minnetonka, MN, USA

fYear

2004

fDate

19-22 Sept. 2004

Firstpage

117

Lastpage

122

Abstract

Online measurement and assessment of partial discharges has proven to be an effective tool in evaluating the condition of insulation and thereby limiting unscheduled outages. Yet, dynamic factors such as humidity, load, and temperature have a significant effect on PD levels. In the past, this data has not been collected simultaneously with PD measurements - something best done on a continuous basis such that correlation and trends can be revealed. This work will show that the best assessment of insulation condition is based on correlating dynamic environmental and load conditions with PD levels and then trending this information over time. This process will result in superior diagnostics and thereby improved maintenance and outage decisions. Actual data collected from rotating equipment and switchgear will be presented and discussed.

Keywords

condition monitoring; fault diagnosis; insulation testing; machine insulation; machine testing; partial discharge measurement; switchgear insulation; correlating dynamics; diagnostics method; humidity; insulation condition; load condition; machine maintenance; online partial discharge measurement; rotating equipment; switchgear; Calibration; Condition monitoring; Electric variables measurement; Insulation; Maintenance; Partial discharge measurement; Partial discharges; Performance analysis; Performance evaluation; Switchgear;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on

ISSN

1089-084X

Print_ISBN

0-7803-8447-4

Type

conf

DOI

10.1109/ELINSL.2004.1380479

Filename

1380479