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Author

Hui-Zhong Yang

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Open access 2026

Learning-Based Nonlinear State Estimation With Unknown System Dynamics

Accurate system dynamics are often difficult to obtain in practical industrial processes, which limits the applicability of model-based state estimators. This paper proposes a novel learning-based nonlinear state estimation method for systems with an unknown state equation. A stochastic configuration network is trained...

Yi-Chao Yang, Chen Xu, Hong-Feng Tao et al. · 0 citations
Sep 2026

Zero-shot condition monitoring of industrial systems via semantic manifold alignment under large semantic gaps

Condition monitoring of modern industrial systems requires reliable fault identification from process variables and vibration signals, yet recognizing previously unobserved faults remains a major challenge when only limited categories are available during training. Zero-shot fault diagnosis (ZSFD) aims to recognize uns...

Meng-Tao Hou, Chen Xu, Hui-Zhong Yang · 0 citations

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