A Dataset for Training the Denoising Approach Based on CEEMDAN-nlDAE
收藏DataCite Commons2026-02-05 更新2026-05-05 收录
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https://www.scidb.cn/detail?dataSetId=6934e24e8f33493d83243eba5a74835e
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资源简介：
To address the challenges of complex noise during data acquisition in real shop-floor environments, we propose a denoising approach that combines complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a noise-learning-based denoising autoencoder (nlDAE). Gauge block measurements are used to train the denoising model.This dataset provides the data used to train the CEEMDAN-nlDAE model in this study, including data of simulation experiment and gauge block measurement.
提供机构：
Science Data Bank
创建时间：
2025-11-26
