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- W2985950077 abstract "The health condition of wind turbines has significant impacts on the power generation of wind farms. Because of the harsh working conditions of wind turbines, fault diagnosis and health status identification are very important but difficult. This paper presents a useful method of predicting drive train faults for wind turbines, based on AC voltage signals with high sampling rate. Faults are emulated on some parts of the drive train and analyzed by using the voltage output signal on an own designed semi-physical wind turbine simulation platform. Tiny faults are identified simultaneously from the voltage signals that contain health information of many components on the drive-drain, similar with traditional Chinese medicine method of pulse-feeling that judges the health status of patients by their pulse position and pulse condition. The method is a very useful and the cheapest technique, especially when other methods using sensors, e.g. vibration sensors have failed for whatever reasons." @default.
- W2985950077 created "2019-11-22" @default.
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- W2985950077 date "2019-09-01" @default.
- W2985950077 modified "2023-09-26" @default.
- W2985950077 title "Study on wind turbine drive train faults based on a semi-physical simulation platform" @default.
- W2985950077 cites W2150249602 @default.
- W2985950077 doi "https://doi.org/10.23919/iconac.2019.8894945" @default.
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