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- W4387042635 abstract "Ultrasonic detection technology has been widely used in detecting and localizing partial discharge (PD) in transformers. However, the large size of converter transformers makes it challenging to determine the proper arrangement of ultrasonic sensors. This paper proposes a localization technology that integrates dissolved gas analysis (DGA) in oil with ultrasonic detection to address this problem. Firstly, the rough localization of the defect is determined using distributed DGA in oil. Based on this rough location, the arrangement scheme for ultrasonic sensors is established. An optimized ultrasonic localization algorithm is then used to accurately pinpoint the discharge source location. Field tests were conducted to validate the efficacy of algorithm, and the results show that the optimized localization algorithm reduces the positioning error by 52%." @default.
- W4387042635 created "2023-09-27" @default.
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- W4387042635 date "2023-08-01" @default.
- W4387042635 modified "2023-10-16" @default.
- W4387042635 title "Research on Comprehensive Diagnosis and Localization Method of Defects in Converter Transformer" @default.
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- W4387042635 doi "https://doi.org/10.1109/psgec58411.2023.10255976" @default.
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