This master thesis aims to demonstrate the effectiveness of a fault detection strategy in the structure of the wind turbine through a new strategy involving singular spectrum analysis (SSA), statistical methods and methods based on frequency. Based on a dynamic model of wind turbine, the time series behavior was obtained in the first instance without ...
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GVMD-NLM: A Hybrid Denoising Method for GNSS Buoy Elevation Time Series Using Optimized VMD and Non-Local Means Filtering. [PDF]
Zhang H, Wang S, Dong C, Xu G, Cai X.
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis. [PDF]
Gao Z +7 more
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AHCSIS: adaptive evaluation model for stereoscopic visual comfort based on HHT-CSP-SSA and improved SNN. [PDF]
Wang Y, Bai J, Zhang H, Wu Y.
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Research and Implementation of Localization of Multiple Local Discharge Sources in Switchgear Based on Ultrasound. [PDF]
Xu D +7 more
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Single-channel EOG artifact removal using fixed frequency EWT and GMETV filter. [PDF]
Yedukondalu J +4 more
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Automated Parameter Selection in Singular Spectrum Analysis for Time Series Analysis. [PDF]
Yang JJ, Buu A.
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Underwater Target Recognition Method Based on Singular Spectrum Analysis and Channel Attention Convolutional Neural Network. [PDF]
Ji F, Lu S, Ni J, Li Z, Feng W.
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An Innovative Method of Singular Spectrum Analysis to Conduct Gap-filling and Denoising on Time Series Data. [PDF]
Yang JJ, Buu A.
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Expanding CIRdb, a comprehensive catalog of whole-exome sequencing data of Canary Islanders. [PDF]
Díaz-de Usera A +13 more
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