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Convolutional Graph Neural Network with Novel Loss Strategies for Daily Temperature and Precipitation Statistical Downscaling over South China

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Advances in Atmospheric Sciences 2025年第1期42卷 232-247页

作者： Wenjie YAN Shengjun LIU Yulin ZOU Xinru LIU Diyao WEN Yamin HU Dangfu YANG Jiehong XIE Liang ZHAO Central South University Changsha 410083China Hunan Expressway Information Technology Co. Ltd.Changsha 410053China Guangdong Climate Center Guangzhou 510610China Hong Kong polytechnic University Shenzhen Research Institute Guangdong 518057China jieyang Meteorological Bureau Jieyang 522031China State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Traditional meteorological downscaling methods face limitations due to the complex distribution of meteorological variables,which can lead to unstable forecasting results,especially in extreme *** overcome this issue,we propose a convolutional graph neural network(CGNN)model,which we enhance with multilayer feature fusion and a squeeze-and-excitation ***,we introduce a spatially balanced mean squared error(SBMSE)loss function to address the imbalanced distribution and spatial variability of meteorological *** CGNN is capable of extracting essential spatial features and aggregating them from a global perspective,thereby improving the accuracy of prediction and enhancing the model's generalization *** on the experimental results,CGNN has certain advantages in terms of bias distribution,exhibiting a smaller *** it comes to precipitation,both UNet and AE also demonstrate relatively small *** for temperature,AE and CNNdense perform outstandingly during the *** time correlation coefficients show an improvement of at least 10%at daily and monthly scales for both temperature and ***,the SBMSE loss function displays an advantage over existing loss functions in predicting the98th percentile and identifying areas where extreme events ***,the SBMSE tends to overestimate the distribution of extreme precipitation,which may be due to the theoretical assumptions about the posterior distribution of data that partially limit the effectiveness of the loss *** future work,we will further optimize the SBMSE to improve prediction accuracy.

关键词： statistical downscaling convolutional graph neural network feature processing SBMSE loss function

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Study on Vibration Detection System of Wind-driven Generator based on Virtual Instrument

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International Journal of Plant Engineering and Management 2021年第1期26卷 57-64页

作者： WEI Xieben LU Xujin LI Tongbin Shantou polytechnic Shantou 515000GuangdongChina jieyang polytechnic Jieyang 522000GuangdongChina

This study analyzes the structural characteristics of wind-driven generator,concludes its comment malfunctions and proposes effective methods by general fault analysis methods,so as to design online detection and fault diagnosis system of wind-driven generator in virtual *** work will realize real-time detection,help engineers to proceed remote fault diagnosis,reduce maintenance time and increase production *** study is meaningful and practical to develop a fault diagnosis system for wind-driven generators,which shows professionalization of fault diagnosis system.

关键词： wind-driven generator virtual instrument vibration detection fault diagnosis system

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Design on Vibration Monitoring and Fault Diagnosis System of Large Water Pump Motor

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International Journal of Plant Engineering and Management 2021年第2期26卷 118-128页

作者： WEI Xieben LU Xujin LI Tongbin CHEN Shuqin Shantou polytechnic Shantou 515000GuangdongChina jieyang polytechnic Jieyang 522000GuangdongChina jieyang DALI Mould Factory Co. Ltd.Jieyang 522000GuangdongChina

Large water pump motor,whose operation decides the reliability of the whole production line,plays a very important ***,its online condition monitoring can help companies better know its operation,process fault analysis and *** essay mainly studies and designs large water pump motor′s real time vibration monitoring and fault diagnosis *** essay completes the systems project design,the establishment of the system and performance ***-currentsensor,XM-120 vibration module,XM-320 axial translation module,XM-362 temperature module,XM-360 process amount module and XM-500 gateway module are used to measure the axial vibration and displacement of main *** tests prove that the system can meet the requirements of motor vibration monitoring.

关键词： large water pump motor vibration monitoring real-time monitoring fault diagnosis test

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