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Author

Shengnan Tang

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Review Open access Sep 2026

Artificial Intelligence Powered End-to-End Agricultural Machinery: Intelligent Transformation of Design and Maintenance Systems

This scoping review synthesizes 147 included evidence sources published from 2014 to early 2026, supplemented by 11 contextual publications that examines sensing, feature extraction, and information fusion across mechanical modeling and design, perception, automation and control, and operation and maintenance.

Sheng-Nan Tang, Xu-Hua Chen, Yong Zhu · 0 citations
Review Open access Aug 2026

Explainable Artificial Intelligence in Rotating Machinery Fault Diagnosis: A Comprehensive Review and Emerging Trends

Examining explainable artificial intelligence for rotating machinery fault diagnosis classifies existing methods into ante hoc and post hoc approaches according to their integration with model architectures according to physical interpretability, applicable fault scenarios, explanation quality, computational overhead,...

Sheng-Nan Tang, Zeng-Yu Ren, Lei-Qi Zheng et al. · 0 citations

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