Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments

Nature·Jan 7

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ArcFace-enhanced few-shot meta-learning for industrial fault diagnosis using multi-modal representations with lightweight 1D CNNs

Nature·Apr 9

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Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems

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Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

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A multistage transfer learning framework for intelligent fault diagnosis of rotating machinery under variable operating conditions

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Machine learning based approach to intrusion detection in internet of things environments

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Nature·Mar 9