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Abstract: Sparse transforms and dictionary learning (DL) play important roles in seismic data denoising. For high-dimensional data, most of these methods consider the data as a combination of 2-D data ...
Abstract: Data-driven machinery fault diagnosis is important for smart industrial systems to guarantee safety and reliability. However, the conventional data-driven fault diagnosis methods rely on the ...