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- W3096709882 abstract "Transformers are one of the most valuable equipment in substation. The operation of entire power system is strongly linked to reliable and accurate operation of this device. Therefore, the life assessment of transformers and their maintenance schedule is critical for efficient transmission and distribution of electric power. In this study an on-line predictive maintenance approach for transformers using thermal images has been suggested. Four segmentation approaches have been compared for hotspot detection in thermal images of transformers. The Modified Kmeans algorithm provides the best segmentation performance amongst the four algorithms studied in this work." @default.
- W3096709882 created "2020-11-09" @default.
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- W3096709882 date "2020-06-24" @default.
- W3096709882 modified "2023-09-27" @default.
- W3096709882 title "Predictive Maintenance Approach For Transformers Based On Hot Spot Detection In Thermal images" @default.
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- W3096709882 doi "https://doi.org/10.1109/icmica48462.2020.9242851" @default.
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