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Data · dataset · 2026

An industrial signal generation method based on a lightwei article linked dataght conditional diffusion model article linked data

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Description

This dataset contains the associated data of the article entitled “An industrial signal generation method based on a lightwei article linked dataght conditional diffusion model.” It is provided to support the main experimental results and research conclusions regarding the performance of LC-DiffAE on the XJTU-SY dataset and the three-axis bearing vibration dataset. The dataset consists of eight files. File 1 contains the overall model framework, the loss function optimization process, and related figures.

File 2 contains the experimental data acquisition platform, time- and frequency-domain analysis results of real signals, experimental settings, parameter comparison tables, and descriptions of the evaluation metrics. File 3 contains time- and frequency-domain analysis results of the generated signals, distribution similarity evaluation results, and comparison figures and data tables for the distribution overlap between real samples and samples generated by different models.

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File 4 contains t-SNE and PCA dimensionality reduction visualizations, as well as quantitative evaluations of generated sample diversity. File 5 contains fault diagnosis confusion matrices, diagnostic performance comparison results, and comparisons of the computational costs and generation performance of different models. Files 6 and 7 contain the ablation study results and parameter sensitivity analysis results, respectively.

File 8 contains quality evaluation results for generated industrial signals of different types, including vibration, acoustic, temperature, and current signals.

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Inferred from text
Design 71%
Provenance · 1 source records, 11 field assertions
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ScienceDB10.57760/sciencedb.4351712 d agoJSON v1
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