The Industrialisation of a Multi-Agent System for Power Transformer Condition Monitoring
Electrical utilities have a pressing need for help with asset management, particularly for large plant items such as transformers. Transformer aging, problems and faults are intimated by partial discharge activity, which can be categorised into defect types. This can be achieved by a condition monitoring system using multiple intelligent classification techniques to provide accurate diagnoses. On-line operation of this system will remove the data processing burden from personnel, allowing for concentration on alleviating the fault’s effects rather than interpreting raw data.
KeywordsPower Transformer Partial Discharge Fault Prediction Interaction Protocol Information Layer
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