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Author

Yu Wang

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Open access Oct 2026

Remaining useful life prediction with uncertainty quantification for risk-aware maintenance decision-making

Remaining useful life (RUL) prediction is a key task in predictive maintenance; however, most existing methods emphasize point estimation accuracy, limiting their ability to characterize predictive uncertainty and support maintenance decision-making. To address this issue, this paper proposes RQDNet, an integrated fr...

Yu Wang, Wei Zhang, Zhen Li et al. · 0 citations
Open access 2026

A Multi-Source Fusion Spatiotemporal Neural Network Improved by Koopman Operators for Predicting Remaining Useful Life

: The operation of complex equipment is typically monitored by multiple sensors, and the vast amount of status data generated from this monitoring provides strong support for predicting the remaining useful life (RUL). Due to the influence of unstable operational conditions, the degradation trajectory of the equipment...

Xin-Jian Gao, En-Zhi Dong, Zhonghua Cheng et al. · 0 citations

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