Original scientific paper

https://doi.org/10.37798/2023724508

3D Acoustic Heat-Maps for Transformer Monitoring Applications

Ferdinand Fuhrmann) orcid.org/0009-0001-6291-1876 ; JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
Anna Maly orcid.org/0009-0008-7841-535X ; JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
Martin Blass ; JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
Franz Graf ; JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria
Jakub Waikat orcid.org/0000-0001-6184-1135 ; Siemens Energy GmbH, Vienna, Austria
Fredi Belavić ; Austrian Power Grid AG, Vienna, Austria

Abstract

We present a novel approach for measuring and representing acoustic emissions of transformers. The representation of location-based acoustic emissions enables improved monitoring of transformers, e.g., to detect and predict anomalies and failure events. Here, we introduce 3D acoustic heatmaps to visualize the sound emission patterns of a transformer. We use a combined sensing approach consisting of a 3D point cloud, a microphone array, and beamforming algorithms to generate the distributed representation of acoustic emissions over the entire surface of the transformer. In a further step, we intend to apply machine learning methods to the generated data to enable early fault prevention and predictive maintenance.

Keywords

Transformer; Audio; Microphone Array; Monitoring

Hrčak ID:

315535

URI

https://hrcak.srce.hr/315535

Publication date:

29.2.2024.

Visits: 47 *