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Review of Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Industrial Open Source Data
To address these gaps, this paper provides a comprehensive review of machine learning approaches for diagnostics and prognostics of industrial systems using open-source datasets from PHM Data Challenge Competitions held between 2018 and 2023 by PHM Society and IEEE Reliability Society and summarizes a unified ML framework.
A Unified Industrial Large Knowledge Model Framework in Smart Manufacturing
The recent emergence of large language models (LLMs) shows the potential for artificial general intelligence, revealing new opportunities in industry 4. 0 and smart manufacturing.
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data
Our study underscores the importance of the data-driven multi-modal learning approach for vehicle design, evaluation, and optimization.
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