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Measures and technologies to enhance the insulation condition monitoring of large electrical machines

Authors :
S. Azizi-Ghannad
J.K. Nelson
Source :
IEEE Transactions on Dielectrics and Electrical Insulation. 11:102-112
Publication Year :
2004
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2004.

Abstract

The utility of condition monitoring of the stator insulation structure of large machines has been enhanced substantially by the use of computer-based analysis of partial discharge signatures. A number of indices are examined through tests in a multistress aging facility to assess their promise in describing insulation degradation in machine insulation. In transitioning such tests to the field environment, an operational test is also described which offers some promise in identifying degradation without prior baseline data for a machine. On the basis that most electrical failures have mechanical precursors, acoustic methods are described for assessing stator bar mechanical integrity. This includes both using the conductors as waveguides and also employing acoustic emission for the location of large discharges.

Details

ISSN :
10709878
Volume :
11
Database :
OpenAIRE
Journal :
IEEE Transactions on Dielectrics and Electrical Insulation
Accession number :
edsair.doi...........82b3335d8588c7ec0170c1dd05e5e0b1
Full Text :
https://doi.org/10.1109/tdei.2004.1266323