Search Results - "FU YAN LI"

Prognostics and health management of Lithium-ion battery using deep learning methods: A review by Zhang, Ying, Li, Yan-Fu

“…Prognostics and health management (PHM) is developed to guarantee the safety and reliability of Lithium-ion (Li-ion) battery during operations. Due to the…”
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A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions by Han, Te, Li, Yan-Fu, Qian, Min

“…The data-driven methods in machinery fault diagnosis have become increasingly popular in the past two decades. However, the wide applications of this scheme…”
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A Weakly Supervised Learning-Based Oversampling Framework for Class-Imbalanced Fault Diagnosis by Qian, Min, Li, Yan-Fu

“…With the lack of failure data, class imbalance has become a common challenge in the fault diagnosis of industrial systems. The oversampling methods can tackle…”
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Multistage Attack–Defense Graph Game Analysis for Protection Resources Allocation Optimization Against Cyber Attacks Considering Rationality Evolution by Shao, Chengwu, Li, Yan‐Fu

“…Cyber vulnerabilities become ever more critical in modern industrial systems since the attacker can utilize the vulnerabilities to degrade their performance or…”
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Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates by Wu, Hui, Li, Yan-Fu

“…We propose a probabilistic model for clustering spatially correlated functional data with multiple scalar covariates. The motivating application is to…”
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Transformer for High-Speed Train Wheel Wear Prediction With Multiplex Local-Global Temporal Fusion by Wang, Huan, Men, Tianli, Li, Yan-Fu

“…The wheel wear status of high-speed trains (HSTs) is an essential indicator for their safety and reliability. When the wheel wear exceeds the warning value…”
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An empirical analysis of data preprocessing for machine learning-based software cost estimation by Huang, Jianglin, Li, Yan-Fu, Xie, Min

“…Due to the complex nature of software development process, traditional parametric models and statistical methods often appear to be inadequate to model the…”
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Definitions of generalized multi-performance weighted multi-state K¯-out-of-n system and its reliability evaluations by Larsen, Emil Mahler, Ding, Yi, Li, Yan-Fu, Zio, Enrico

“…•Basic definitions of multi-performance multi-state components are provided.•Generalized multi-performance weighted multi-state K¯-out-of-n system models are…”
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Robust Mechanical Fault Diagnosis With Noisy Label Based on Multistage True Label Distribution Learning by Wang, Huan, Li, Yan-Fu

“…Fault diagnosis is an essential means to ensure the regular operation of mechanical systems. The existing data-driven algorithms are developed based on the…”
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A Novel Adaptive Undersampling Framework for Class-Imbalance Fault Detection by Qian, Min, Li, Yan-Fu

“…Class-imbalance is a prevalent and challenging problem in the field of fault detection. The undersampling ensemble framework is an effective method to deal…”
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A multi-sensor fusion-based prognostic model for systems with partially observable failure modes by Wu, Hui, Yan-Fu, Li

“…With the rapid development of sensor and communication technology, multi-sensor data is available to monitor the degradation of complex systems and predict the…”
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A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment by Yan-Fu Li, Pedroni, Nicola, Zio, Enrico

“…A multi-objective power unit commitment problem is framed to consider simultaneously the objectives of minimizing the operation cost and minimizing the…”
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A Brain-Inspired Spiking Network Framework Based on Multi-Time-Step Self-Attention for Lithium-Ion Batteries Capacity Prediction by Wang, Huan, Sun, Muxia, Li, Yan-Fu

“…Lithium-ion (Li-ion) batteries have gained widespread usage in numerous consumer electronic products and have significantly contributed to the growth of…”
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Positive-Unlabeled Learning-Based Hybrid Deep Network for Intelligent Fault Detection by Qian, Min, Li, Yan-Fu, Han, Te

“…Intelligent fault detection methods based on deep learning have been developed rapidly in recent years. However, most of these methods are based on supervised…”
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Optimal Defense Resources Allocation for Power System Based on Bounded Rationality Game Theory Analysis by Shao, Cheng-Wu, Li, Yan-Fu

“…Power utility allocates defense resources to prevent unscheduled load shedding due to transmission line failure caused by the malicious physical attacks. Game…”
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Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems by Zhang, Hanxiao, Yan-Fu, Li, Xie, Min, Zhang, Chen

“…The failures of high-consequence systems can cause serious harm to humans, including loss of human health, life security, finance, and even social chaos. To…”
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Redundancy allocation under state‐dependent distributional uncertainty of component lifetimes by Li, Jun, Huang, Yizhe, Li, Yan‐Fu, Wang, Shuming

“…In this paper, we consider a redundancy allocation problem in a series‐parallel system with uncertain component lifetimes of multiple states, which involves…”
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A Systematic Approach to the High-Level Maintenance Scheduling for High-Speed Trains in China by Zheng, Wenqiang, Zhang, Hanxiao, Li, Yan-Fu

“…High-level maintenance is one of the key practices to ensure the safe operation of high-speed trains (HSTs). However, it is usually scheduled manually, and…”
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Wind Turbine Blade Early Fault Detection With Faulty Label Unknown and Labeling Bias by Qian, Min, Wu, Hui, Li, Yan-Fu

“…In practical industrial applications, the need for a large number of accurately labeled training samples is a significant challenge for fault detection tasks…”
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Deep Reinforcement Learning for Dynamic Opportunistic Maintenance of Multi-Component Systems With Load Sharing by Zhang, Chen, Li, Yan-Fu, Coit, David W.

“…Opportunistic maintenance (OM), which shows its superiority on complex multi-component systems by integrating the maintenance activities of multiple components…”
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