Insulation condition assessment of power equipments in electrical assets based on on-line monitoring of partial discharges

Author

Montanari, G.C. ; Cavallini, A.

Author_Institution

Dept. of Electr. Eng., Univ. of Bologna, Bologna

fYear

2008

fDate

21-24 April 2008

Firstpage

7

Lastpage

12

Abstract

Partial discharge (PD) measurements performed online can provide important information regarding insulation system reliability. However, PD detectors suitable for online measurements (or monitoring) should be endowed at least with tools that are able to deal with noise and multiple PD sources. PD source identification tools that can exploit data streams from other sensors are, moreover, very important in order to provide an accurate failure risk assessment. This paper gives specifications about PD detection systems suitable for monitoring purposes, describes a detector that fits these requirements and provide examples of processing and analysis of PD data detected on in-service apparatus.

Keywords

failure analysis; insulation testing; partial discharge measurement; PD detection systems; PD detectors; PD source identification tools; asset management; data streams; electrical assets; failure risk assessment; in-service apparatus; insulation condition assessment; insulation system reliability; on-line monitoring; online measurements; partial discharge measurements; power equipments; Condition monitoring; Data analysis; Detectors; Dielectrics and electrical insulation; Noise measurement; Partial discharge measurement; Partial discharges; Performance evaluation; Reliability; Risk management; Asset management; condition assessment; insulation systems; monitoring; partial discharges;

fLanguage

English

Publisher

ieee

Conference_Titel

Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1621-9

Electronic_ISBN

978-1-4244-1622-6

Type

conf

DOI

10.1109/CMD.2008.4580483

Filename

4580483