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18 December 2019 FBG strain signal collection and its fault feature analysis for ring gear crack of planetary transmission in wind turbine
A. R. L. Marcal, Xiaodong Zhang, Hang Niu, Fagui Di
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Proceedings Volume 11340, AOPC 2019: Optical Fiber Sensors and Communication; 113401D (2019) https://doi.org/10.1117/12.2547813
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
Regardless of many researches done in recent years, most wind turbines are still unable to reach their design lifetime [5]. Failures in the gearbox, especially in the planetary stage, have been a major cause of reliability problems in the modern wind energy turbine system. The following paper proposes a fault diagnosis method based on the strain signal of the ring gear. First, the strain signal is collected from the side of the ring gear using FBG sensors in normal condition and faulty condition. Then the collected strain signal is processed and analyzed. In the time-domain analysis, traditional statistical indicators like Peak to Peak, Kurtosis, Crest factor and Peak value are adopted. The analysis results show the effectiveness of the proposed method for identifying tooth crack fault of the ring gear.
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A. R. L. Marcal, Xiaodong Zhang, Hang Niu, and Fagui Di "FBG strain signal collection and its fault feature analysis for ring gear crack of planetary transmission in wind turbine", Proc. SPIE 11340, AOPC 2019: Optical Fiber Sensors and Communication, 113401D (18 December 2019); https://doi.org/10.1117/12.2547813
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KEYWORDS
Fiber Bragg gratings
Sensors
Teeth
Wind turbine technology
Signal processing
Statistical analysis
Reliability
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