Nguyen Cong-Phuong
ABSTRACT
Power transformer is a very important device, linking electric generators, transmission lines, and consumers. It requires a continuous monitoring and diagnosis for a safe and stable operating life. Overloading is among those which can shutdown transformers. This research aims to use a microphone to distinguish between underload, full load, and overload operations of a large (63MVA) power transformer. Three acoustic features and six classification models are evaluated to establish the overload detection system based on sound analysis. Results show that this is a promising way to monitor power transformer overload.
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- Large Power Transformer Overload Detection using Sound Analysis
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