Abstract
Online diagnostics and online condition monitoring are important functions within the operation and maintenance of power transformers. This paper describes how a multi-agent system (MAS) for transformer condition monitoring has been designed to employ the data generated by the ultra high frequency (UHF) monitoring of partial discharge activity. It describes the rationale behind the use of multi-agent techniques, and the problems overcome through this technology. Every aspect of the MAS design is discussed. In addition, the design and performance of the intelligent interpretation techniques are detailed.
| Original language | English |
|---|---|
| Pages (from-to) | 1845-1852 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 19 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2004 |
Keywords
- condition monitoring
- maintenance engineering
- multi-agent systems
- partial discharges
- power engineering
- computing power transformers