Long Chen

Rapid prediction and reconstruction of dust field under airflow control in excavation face based on POD-BP model

Xinyu Wang, Xiaoyan Gong, Long Chen, Zhuangzhuang Liu et autres

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Study on the collaborative intelligent control system of airflow and spray for dust-reduction in gas-solid-liquid coupling environment

Long Chen, Xiao-Yan Gong, Yuxuan Xue, Haoran Fu et autres

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Identification of Cable Partial Discharge Defects Based on a Dual-Attention Mechanism Optimized CNN Model

Long Chen, Qiong Li, Hanyu Rao, Pu Xu et autres

Partial discharge (PD) is an early indicator of insulation degradation in electrical equipment, and frequent occurrences may lead to severe faults. Due to noise interference, traditional PD detection methods struggle to achieve high accuracy in complex environments. To address the challenge of …

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Mechanical properties and mechanism of damage and deterioration of coal under cyclic loading

Ziwei Ding, Qingbao Tang, Jindui Jia, Guangqing Di et autres

To analyze the mechanical characteristics of damaged coal bodies and the mechanisms of evolution and degradation of internal pore and fracture defects under cyclic loads, raw coal containing original pore and fracture materials was selected as the research material. This study investigates …

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Conditional Diffusion Model for Missing Value Imputation

Biao Li, Long Long, Xiaochen Zuo, Long Chen

With the rapid proliferation of social data, the prevalence of missing values has become increasingly common. Various factors, including human error and machine failure, contribute to the emergence of missing values in datasets. Datasets containing missing values not only consume storage space …

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Dynamic Modeling of Multioperating Conditions for a Three-Converter Gas Holder System in Steel Industry by Using Time-Varying Dynamic Bayesian Networks

Long Chen, Yaliang Yan, Jun Zhao, Wei Wang

The multiple joint Linz-Donawitz converter gas (LDG) holder systems are usually employed to alleviate the LDG fluctuation in steel enterprises. A dynamic modeling method based on time-varying dynamic Bayesian network (TVDBN) is proposed for a three-converter gas holder system (TCGHS). Considering the …

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A Scheduling Method for Blast Furnace Gas Systems Based on Conditional Generative Adversarial Networks and Process Rules

Xiaoxue Wang, Feng Jin, Jun Zhao, Wei Wang et autres

Blast furnace gas (BFG), a vital byproduct energy resource in the ironmaking process, can be efficiently managed through proper scheduling to minimize emissions and augment productivity. A novel scheduling method for BFG systems based on an improved Conditional Generative Adversarial Network (CGAN) …

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A Dual Autoregressive HSMM for Prediction of Consumption Gas Flow of Hot Blast Stoves in Steel Industry

Long Chen, Guanglin Cong, Jun Zhao, Wei Wang

The consumption flow of blast furnace gas (BFG) by the hot blast stoves typically exhibits significant uncertain fluctuations due to the intermittent blasting, posing considerable impacts on the gas pipeline networks. Making its prediction accurate is of great importance in the scheduling …

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Prediction of Multi-Converter Gas Holders Level in Steel Enterprises based on Mechanism and Data

Yaliang Yan, Long Chen, Jun Zhao, Wei Wang

Linz Donawitz converter gas (LDG) is an important secondary energy source in iron and steel enterprises. The accurate prediction of converter gas holder level is of great significance for the optimal scheduling of the LDG systems. Considering that there are multi-operating conditions …

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Compact eternal diffractive neural network chip for extreme environments

Yibo Dong, Dajun Lin, Long Chen, Baoli Li et autres

Abstract Artificial intelligence applications in extreme environments place high demands on hardware robustness, power consumption, and speed. Recently, diffractive neural networks have demonstrated superb advantages in high-throughput light-speed reasoning. However, the robustness and lifetime of existing diffractive neural networks cannot be guaranteed, …

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Research on fingerprint recognition materials under ultra-thin screen

Bingqiang Zhang, Sanzhao Wang, Xixiang Ma, Long Chen et autres

The biggest problem faced in the application of optical under-screen fingerprint identification technology is that the finger reflects back more light information, and the information of the fingerprint is interfered by a lot of stray signals, which i s solved by the …

Conditional Diffusion Model for Missing Value Imputation

Long Chen, Changan Yuan, Yuan Ge, Xiaofeng Zhu

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