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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet energy spectrum 被引量:3
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作者 yun kong Tianyang WANG +1 位作者 Zheng LI Fulei CHU 《Frontiers of Mechanical Engineering》 SCIE CSCD 2017年第3期406-419,共14页
Planetary transmission plays a vital role in wind turbine drivetrains, and its fault diagnosis has been an important and challenging issue. Owing to the complicated and coupled vibration source, time-variant vibration... Planetary transmission plays a vital role in wind turbine drivetrains, and its fault diagnosis has been an important and challenging issue. Owing to the complicated and coupled vibration source, time-variant vibration transfer path, and heavy background noise masking effect, the vibration signal of planet gear in wind turbine gearboxes exhibits several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault feature. In this sense, the periodic impulsive components induced by a localized defect are hard to extract, and the fault detection of planet gear in wind turbines remains to be a challenging research work. Aiming to extract the fault feature of planet gear effectively, we propose a novel feature extraction method based on spectral kurtosis and time wavelet energy spectrum (SK-TWES) in the paper. Firstly, the spectral kurtosis (SK) and kurtogram of raw vibration signals are computed and exploited to select the optimal filtering parameter for the subsequent band-pass filtering. Then, the band-pass filtering is applied to extrude periodic transient impulses using the optimal frequency band in which the corresponding SK value is maximal. Finally, the time wavelet energy spectrum analysis is performed on the filtered signal, selecting Morlet wavelet as the mother wavelet which possesses a high similarity to the impulsive components. The experimental signals collected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature extraction and fault diagnosis for the planet gear with a localized defect. 展开更多
关键词 wind turbine planet gear fault feature extraction spectral kurtosis time wavelet energy spectrum
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A new strategy for high-throughput identification of human gut microbiota containing specific monosaccharide
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作者 Qizheng Wu Fang Liu +8 位作者 Yu Song Qingyun Meng Xunlian Zhang Huizi Li Jingyu Sun Hongqi Gao Peng George Wang yun kong Min Chen 《Science China(Life Sciences)》 SCIE CAS CSCD 2019年第7期985-987,共3页
Dear Editor,The human gastrointestinal tract is colonized by trillions of microorganisms,the majority of which cannot be cultured (Wu et al.,2018).Numerous glycans are expressed on the surface of gut microbiota that a... Dear Editor,The human gastrointestinal tract is colonized by trillions of microorganisms,the majority of which cannot be cultured (Wu et al.,2018).Numerous glycans are expressed on the surface of gut microbiota that are characteristic of different strains,and the diversity of these glycans is partially attributed to variations in their monosaccharides. 展开更多
关键词 EDITOR GLYCANS MONOSACCHARIDES
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