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A residual denoising and multiscale attention-based weighted domain adaptation network for tunnel boring machine main bearing fault diagnosis

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Science China(Technological Sciences) 2024年第8期67卷 2594-2618页

作者： ZHONG Tao qin ChengJin SHI Gang ZHANG ZhiNan TAO JianFeng liu ChengLiang State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

As a critical component of a tunnel boring machine(TBM),the precise condition monitoring and fault analysis of the main bearing is essential to guarantee the safety and efficiency of the TBM cutter ***,under conditions of strong noise and complex working environments,traditional signal decomposition and machine learning methods struggle to extract weak fault features and achieve high fault classification *** address these issues,we propose a novel residual denoising and multiscale attention-based weighted domain adaptation network(RDMA-WDAN)for TBM main bearing fault *** approach skillfully designs a deep feature extractor incorporating residual denoising and multiscale attention modules,achieving better domain adaptation despite significant domain *** residual denoising component utilizes a convolutional block to extract noise features,removing them via residual ***,the multiscale attention module uses a 4-branch convolution and 3 pooling strategy-based channel–spatial attention mechanism to extract multiscale features,concentrating on deep fault *** training,a weighting mechanism is introduced to prioritize domain samples with clear fault *** optimizes the deep feature extractor to obtain common features,enhancing domain adaptation.A low-speed and heavy-loaded bearing testbed was built,and fault data sets were established to validate the proposed *** experiments show that in noise domain adaptation tasks,proposed the RDMA–WDAN significantly improves target domain classification accuracy by 42.544%,23.088%,43.133%,16.344%,5.022%,and 9.233%over dense connection network(DenseNet),squeeze–excitation residual network(SE-ResNet),antinoise multiscale convolutional neural network(ANMSCNN),multiscale attention module-based convolutional neural network(MSAMCNN),domain adaptation network,and hybrid weighted domain adaptation(HWDA).In combined noise and working condition domain a

关键词： tunnel boring machine(TBM) main bearing fault diagnosis domain adaptation antinoise cross working RDMA-WDAN

Development of an enhanced online tritium monitoring system using plastic scintillation fiber array

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NUCLEAR SCIENCE AND TECHNIQUES 2024年第10期35卷 1-11页

作者： Cheng, Wen-Yu Deng, Ke Zeng, You-Shi liu, Wei Zhang, qin Chinese Acad Sci Shanghai Inst Appl Phys Shanghai 201800 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

Tritium, a radioactive nuclide discharged by nuclear power plants, poses challenges for removal. Continuous online monitoring of tritium in water is crucial for real-time radiation data, given its predominant existence in the environment as water. This paper presents the design, simulation, and development of a tritium monitoring device utilizing a plastic scintillation fiber (PSF) array. Experimental validation confirmed the device's detection efficiency and minimum detectable activity. The recorded detection efficiency of the device is 1.6x10-3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.6\times 10{-3}$$\end{document}, which exceeds the theoretically simulated value of 4x10-4\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$4\times 10{-4}$$\end{document} by four times. Without shielding, the device can achieve a minimum detectable activity of 3165BqL-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3165\,\hbox {Bq}\,\hbox {L}{-1}$$\end{document} over a 1600-second measurement duration. According to simulation and experimental results, enhancing detection efficiency is possible by increasing the number and length of PSFs and implementing rigorous shielding measures. Additionally, reducing the diameter of PSFs can also improve detection efficiency. The minimum detectable activity of the device can be further reduced using the aforementioned methods.

关键词： Tritium Plastic scintillating fiber array Detector WATER SOIL

Goaf risk prediction based on IAOA-SVM and numerical simulation:A case study

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Underground Space 2024年第2期15卷 153-175页

作者： Mingliang Li Kegang Li Yuedong liu Shunchuan Wu qingci qin Rui Yue Faculty of Land Resources Engineering Kunming University of Science and TechnologyKunming 650093China Yunnan Key Laboratory of Sino-German Blue Mining and Utilization of Special Underground Space Kunming 650093China Yunnan Diqing Mining Co.Ltd. Shangrila 674400China

In regard to goaf risk prediction,due to the low accuracy and single prediction method,this study proposes a method that combines the improved arithmetic optimization algorithm(IAOA)–support vector machines(SVM)with GoCAD–FLAC^(3D)numerical ***,goaf risk is comprehensively *** the perspectives of geological and engineering conditions,eight factors that affect goaf stability and 176 sets of sample data were *** utilized eight influencing factors such as rock mass structure,geological structure,and goaf burial depth as inputs,and the goaf risk level as the ***,an IAOA–SVM goaf risk prediction model was *** 30 goaf areas of Yangla Copper Mine in Yunnan Province were selected as the research ***,the rationality of mechanical parameter values in the numerical model was verified using the parameter inversion ***,based on the GoCAD–FLAC^(3D)numerical simulation method,the goaf risk analysis in Yangla Copper Mine was ***,using numerical simulation verification,the goaf filling effect was ***,the prediction results of the IAOA–SVM model were compared with that of other intelligent *** results indicate that the numerical simulation results of the GoCAD–FLAC^(3D)model are consistent with those of IAOA–SVM and the actual results,which further verifies the effectiveness and superiority of the IAOA–SVM prediction ***,an innovative approach for goaf risk prediction is developed.

关键词： Rock mechanics Goaf risk prediction IAOA SVM Numerical simulation

SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation

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Science China(Information Sciences) 2024年第8期67卷 147-171页

作者： Yuqing MA Wei liu Yajun GAO Yang YUAN Shihao BAI Haotong qin Xianglong liu State Key Lab of Software Development Environment Beihang University

Predicting future frames using historical spatiotemporal data sequences is challenging and critical, and it is receiving a lot of attention these days from academic and industrial scholars. Most spatiotemporal predictive algorithms ignore the valuable backward reasoning ability and the disparate learning complexities among different layers and hence, cannot build good long-term dependencies and spatial correlations,resulting in suboptimal solutions. To address the aforementioned issues, we propose a two-stage coarse-to-fine spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation(See More)in this paper, which includes a bidirectional distillation network(BDN) and a level-specific meta-adapter(LMA), to gain bidirectional multilevel reasoning. In the first stage, BDN concentrates on bidirectional dynamics modeling and coarsely constructs spatial correlations of different layers, while LMA is introduced in the second fine-tuning stage to refine the multilevel spatial correlations from a meta-learning *** particular, BDN mimics the forward and backward reasoning abilities of humans in a distillation manner,which aids in the development of long-term dependencies. The LMA views learning of different layers as disparate but related tasks and guides the transfer of learning experiences among these tasks through learning complexities. Thus, each layer could be closer to its solutions and could extract more informative spatial correlations. By capturing the enhanced short-term spatial correlations and long-term temporal dependencies,the proposed model could extract adequate knowledge from sequential historical observations and accurately predict future frames whose backtracking preconditions are consistent with the historical sequence. Our work is general and robust enough to be integrated into most spatiotemporal predictive models without requiring additional computation or memory cost during inference. Extensive experimen

关键词： spatiotemporal predictive learning knowledge transfer bidirectional distillation network level-specific meta-adapter coarse-to-fine training

Ganoderma Lucidum Spore Oil enhances the effect of cyclophosphamide via inhibiting programmed death-1 and prolongs the survival of H22 tumor-bearing mice

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Journal of Traditional Chinese Medicine 2024年第4期44卷 652-659页

作者： JIANG Zhaojian CAI Hongfei YUAN Cheng CAO Lin XU Wendong HAN Yaming ZHANG qin LI Jing WANG qin liu Juyan Guangzhou HanFang Pharmaceutical Company Limited National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug InnovationGuangdong Provincial Key Laboratory of Medicinal LipidsGuangzhou 510240China Zhongshan Medical College Sun Yat-sen UniversityGuangzhou 510080China Guangzhou Pharmaceutical Holdings Limited Guangzhou 510130China National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug Innovation Guangzhou 510240China

OBJECTIVE:To investigate the effect of Ganoderma Lucidum Spore Oil(GLSO)on the tumor growth and survival of H22 tumor-bearing mice treated with cyclophosphamide(CTX),and explore the underlying ***:Allograft H22 hepatocellular carcinoma mouse model was applied to investigate the effect of GLSO on the tumor growth and survival of animals,and Kaplan-Meier survival analysis was used to analyze the life *** biochemical examination was used to determine the levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),urea(UREA)and creatinine(CRE).Western blot analysis was performed to detect Programmed Death-1(PD-1),Programmed Death Ligand 1(PD-L1),Janus Kinase 2(JAK2),phosphorylated Signal Transducer and Activator of Transcription 3(p-STAT3),and Signal Transducer and Activator of Transcription 3(STAT3)***:GLSO increased the anti-tumor effect of CTX and prolonged the survival of H22 tumor-bearing mice treated with ***,GLSO increased the thymus index and showed no obvious toxicity to liver functions of *** also decreased the level of UREA in H22 tumor-bearing mice treated with ***,GLSO could inhibit the expression of PD-1 in spleen,which was independent of JAK2 expression and STAT3 ***,GLSO did not affect the expression of PD-L1,JAK2,and p-STAT3 in tumor ***:GLSO could strengthen the anti-tumor effect of CTX and prolong the life span of H22 tumorbearing mice,while the underlying mechanism might be relevant to the amelioration effect of thymus function and inhibition of PD-1 expression in ***,these findings implied the promising role of GLSO in combination with CTX to extend the survival of patients in clinical chemotherapy of hepatocellular carcinoma.

关键词： carcinoma,hepatocellular cyclophosphamide survival programmed cell death 1 receptor Ganoderma Lucidum SporeOil

A novel multi-state bogie system reliability evaluation approach by extended d-MC model for high-speed trains

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Transportation Safety and Environment 2024年第3期6卷 35-46页

作者： Yong Fu Ruoqu liu Jisheng Dai Wenlong Zhu Xin liu Yong qin Zhuzhou CRRC Times Electric Co. Ltd.Times RoadShifeng DistrictZhuzhouHunan 412001China Department of Statistics University of WarwickCoventry CV47ALUnited Kingdom State Key Lab of Rail Traffic Control&Safety Beijing Jiaotong UniversityHaidian DistrictBeijing 100044China

Bogie is a pivotal system and plays a critical part in the safety and reliability management of high-speed ***,the available bogie system reliability analysis methods lack the consideration of multi-state characteristics,and the common multi-state reliability analysis methods,being an NP-hard problem,lead to low *** order to overcome these drawbacks,this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC *** different function interactions within the bogie system are considered to build the multi-state bogie system flow network ***,an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates,which greatly enhances the computing *** bogie system reliability is calculated,and examples are *** experiments are carried out for the different operational conditions of the bogie system and are used to test the practicability of the method proposed in this article;it is found that this method outperforms a newly developed method in solving multi-state reliability problems.

关键词： multi-state system reliability bogie flow network extended d-MC model

Inhibition of viability of human retinal microvascular endothelial cells by vialinin A under high glucose condition

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International Journal of Ophthalmology(English edition) 2024年第10期17卷 1809-1815页

作者： Zhi-Gang Chen Gao-qin liu Wei-Ming liu Pei-Rong Lu Department of Ophthalmology the First Affiliated Hospital of Soochow UniversitySuzhou 215006Jiangsu ProvinceChina Jiangsu Clinical Immunology Institute the First Affiliated Hospital of Soochow UniversitySuzhou 215006Jiangsu ProvinceChina

AIM:To investigate the effects of vialinin A on viability of human retinal endothelial cells(HRECs)under high glucose condition and its potential ***:The HRECs were divided into four groups:normal glucose control group(NG,5 mmol/L D-glucose),high glucose group(HG,30 mmol/L D-glucose),HG+1μmol/L vialinin A group,and HG+5μmol/L vialinin A *** cell viabilities were measured with cell counting kit-8(CCK-8)assay for proliferation,with scratch assay for migration,and tube formation,for evaluation of the impact of vialinin A on cellular ***-time PCR and Western blotting were used to determine the expression level of vascular endothelial growth factor(VEGF).RESULTS:The proliferative capacity and migration of HRECs was reduced by 5μmol/L vialinin A in high glucose environment(both P<0.05).Vialinin A also inhibited highglucose-induced tube formation of *** expression level of VEGF and PI3K in HRECs was also significantly decreased by vialinin A(P<0.05).CONCLUSION:Vialinin A inhibits the cell viability of *** may serve as a potential target for anti-angiogenic therapy.

关键词： vialinin A vascular endothelial growth factor human retinal endothelial cells cell viability

Full waveform inversion based on hybrid gradient

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Petroleum Science 2024年第3期21卷 1660-1670页

作者： Chuang Xie Zhi-Liang qin Jian-Hua Wang Peng Song Heng-Guang Shen Sheng-Qi Yu Ben-Jun Ma Xue-qin liu qingdao Innovation and Development Base Harbin Engineering UniversityQingdao266000ShandongChina qingdao Innovation and Development Center Harbin Engineering UniversityQingdao266000ShandongChina CNOOC Research Institute Co. Ltd.Beijing100028China College of Marine Geoscience Ocean University of ChinaQingdao266100ShandongChina Weihai Sunfull Geophysical Exploration Equipment Co. Ltd.Weihai264209ShandongChina

The low-wavenumber components in the gradient of full waveform inversion(FWI)play a vital role in the stability of the ***,when FWI is implemented in some high frequencies and current models are not far away from the real velocity model,an excessive number of low-wavenumber components in the gradient will also reduce the convergence rate and inversion *** solve this problem,this paper firstly derives a formula of scattering angle weighted gradient in FWI,then proposes a hybrid *** hybrid gradient combines the conventional gradient of FWI with the scattering angle weighted gradient in each inversion frequency band based on an empirical formula derived *** weighted hybrid mode,we can retain some low-wavenumber components in the initial lowfrequency inversion to ensure the stability of the inversion,and use more high-wavenumber components in the high-frequency inversion to improve the convergence *** results of synthetic data experiment demonstrate that compared to the conventional FWI,the FWI based on the proposed hybrid gradient can effectively reduce the low-wavenumber components in the gradient under the premise of ensuring inversion *** also greatly enhances the convergence rate and inversion accuracy,especially in the deep part of the *** the field marine seismic data experiment also illustrates that the FWI based on hybrid gradient(HGFWI)has good stability and adaptability.

关键词： Full waveform inversion Hybrid gradient Scattering angle weighted Low-wavenumber component

Microphase Separation of Semiflexible Ring Diblock Copolymers

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Chinese Journal of Polymer Science 2024年第2期42卷 267-276,I0011页

作者： Dan-Yan qin Sheng-Da Zhao Zhi-Xin liu Jing Zhang Xing-Hua Zhang School of Physical Science and Engineering Beijing Jiaotong UniversityBeijing100044China

Aiming at the difficult problem of solving the conformation statistics of complex polymers, this study presents a novel and concise conformation statistics theoretical approach based on Monte Carlo and Neural Network method. This method offers a new research idea for investigating the conformation statistics of complex polymers, characterized by its simplicity and practicality. It can be applied to more complex topological structure, more higher degree of freedom polymer systems with higher dimensions, theory research on dynamic self-consistent field theory and polymer field theory, as well as the analysis of scattering experimental data. The conformation statistics of complex polymers determine the structure and response properties of the system. Using the new method proposed in this study, taking the semiflexible ring diblock copolymer as an example, Monte Carlo simulation is used to sample this ring conformation to construct the dataset of polymer. The structure factor describing conformation statistics are expressed as continuous functions of structure parameters by neural network supervised learning. This is the innovation of this work. As an application, the structure factors represented by neural networks were introduced into the random phase approximation theory to study the microphase separation of semiflexible ring diblock copolymers. The influence of the ring's topological properties on the phase transition behavior was pointed out.

关键词： Ring copolymer Diblock copolymers Semiflexible The order-disorder transition