खोज परिणाम - Jiaming Chen

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  2. 2

    Experimental Investigation of Temperature Polarization near Membrane Surface During Air Gap Membrane Distillation Processes द्वारा Lianqi Jing, Jiaqi Sun, Yaoling Zhang, Jiaming Chen, Fei Guo

    प्रकाशित 2025-06-01

    Temperature polarization is a critical factor influencing the performance of membrane distillation. The presence of temperature polarization causes the temperature of the fluid near the membrane surface to be different from that in the bulk region, reducing the effective temperature difference acros...

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  3. 3

    Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model द्वारा Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

    प्रकाशित 2025-05-01

    Noises on the field can affect the electromechanical system characteristics in the bearing fault diagnostic process. This paper presents a deep learning-based fault-diagnosis model DRSN–GCE (Deep Relative Shrinkage Network with Gated Convolutions and Enhancements), which is designed to deal with noi...

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  4. 4

    Comparison of artificial neural network and response surface methodology prediction in key performance of two-component grout material in shield tunneling द्वारा Kailong Lu, Xudong Chen, Jiahong Zhang, Jiaming Chen, Zhenwei Liu, Lulu Chen

    प्रकाशित 2025-12-01

    In this study, response surface methodology (RSM) and artificial neural network (ANN) techniques were employed to predict the key performance of a two-component grout material used in shield tunneling, considering the 28 d compressive strength, gel time, initial and final setting times, and water-to...

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  5. 5

    Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN द्वारा Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Qinghua Li, Xuelian Yu, Jiaming Chen

    प्रकाशित 2025-07-01

    To address the problems of feature extraction, cost of obtaining labeled samples, and large differences in domain distribution in bearing fault diagnosis on variable operating conditions, an unsupervised domain-adaptive bearing fault diagnosis method based on migration learning using MSACNN-IJMMD-DA...

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