In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication q...In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication quality.Tubular hydrogenerators are considered the optimal generator for exploiting low-head,high-flow hydro resources,and they have seen increasingly widespread application in China's power systems recent years.However,owing to the compact and constrained internal space of such generators,their internal magnetic-field harmonics are pronounced.Therefore,accurate calculation of their THD and THF is crucial during the analysis and design stages to ensure the quality of power communication.Especially in the electromagnetic field finite element modeling analysis of such generators,the type and order of the finite element meshes may have a significant impact on the THD and THF calculation results,which warrants in-depth research.To address this,this study takes a real 34 MW large tubular hydrogenerator as an example,and establishes its electromagnetic field finite element model under no-load conditions.Two types of meshes,five mesh densities,and two mesh orders are analyzed to reveal the effect of electromagnetic field finite element mesh types and orders on the calculation results of THD and THF for such generators.展开更多
Modern rotating machines,which are represented by high-end grinding machines,have developed toward high precision,intelligence,and high durability in recent years.As the core components of grinding machine spindles,gr...Modern rotating machines,which are represented by high-end grinding machines,have developed toward high precision,intelligence,and high durability in recent years.As the core components of grinding machine spindles,grinding wheels greatly affect the vibration level during operation.The unbalance vibration self-recovery regulation(UVSRR)system is proposed to suppress the vibration of grinding wheels during workpiece processing,eliminating or minimizing the imbalance.First,technical principles and the system composition are introduced.Second,the balancing actuator in the UVSRR system is analyzed in detail.The advanced nature of the improved structure is presented through structure introduction and advantage analysis.The performance of the balancing actuator is mutually verified by the theoretical calculation of torque and software simulation.Results show that the self-locking torque satisfies the actual demand,and the driving torque is increased by 1.73 times compared with the traditional structure.Finally,the engineering application value of the UVSRR system is verified by laboratory performance comparison and actual factory application.The balancing speed and effect of the UVSRR system are better than those of an international mainstream product and,the quality of the workpieces machined in the factory improved by 40%.展开更多
For the existing aspect category sentiment analysis research,most of the aspects are given for sentiment extraction,and this pipeline method is prone to error accumulation,and the use of graph convolutional neural net...For the existing aspect category sentiment analysis research,most of the aspects are given for sentiment extraction,and this pipeline method is prone to error accumulation,and the use of graph convolutional neural network for aspect category sentiment analysis does not fully utilize the dependency type information between words,so it cannot enhance feature extraction.This paper proposes an end-to-end aspect category sentiment analysis(ETESA)model based on type graph convolutional networks.The model uses the bidirectional encoder representation from transformers(BERT)pretraining model to obtain aspect categories and word vectors containing contextual dynamic semantic information,which can solve the problem of polysemy;when using graph convolutional network(GCN)for feature extraction,the fusion operation of word vectors and initialization tensor of dependency types can obtain the importance values of different dependency types and enhance the text feature representation;by transforming aspect category and sentiment pair extraction into multiple single-label classification problems,aspect category and sentiment can be extracted simultaneously in an end-to-end way and solve the problem of error accumulation.Experiments are tested on three public datasets,and the results show that the ETESA model can achieve higher Precision,Recall and F1 value,proving the effectiveness of the model.展开更多
An M-type hexagonal ferrite BaTiCoFe10 O19 was prepared by solid phase reaction by a partial 2Fe3+→Ti4+ Co2+ substitution. The morphology observation and phase identification of BaTiCoFe10O19 were carried out by SEM ...An M-type hexagonal ferrite BaTiCoFe10 O19 was prepared by solid phase reaction by a partial 2Fe3+→Ti4+ Co2+ substitution. The morphology observation and phase identification of BaTiCoFe10O19 were carried out by SEM and XRD, and its X-ray powder diffraction data was reported in this paper for the first time. Further, the microwave electromagnetic properties of BaTiCoFe10O19 were measured and discussed.展开更多
In recent years,karst construction projects in the built-up area of Wuhan(capital of Hubei Province,China)are increasing,and the karst geological disasters have aroused social concerns.The actual engineering projects ...In recent years,karst construction projects in the built-up area of Wuhan(capital of Hubei Province,China)are increasing,and the karst geological disasters have aroused social concerns.The actual engineering projects usually use shallow geophysical exploration methods to explore karst.This paper uses Spatial Auto-Correlation Method(SPAC)and electromagnetic Computerized Tomography(CT)to detect karst in urban built-up areas.Depending on the different physical properties of rock and soil,the SPAC method can better reveal the interface between soil and rock strata and the interface between soil layers.The electromagnetic CT method can identify strata according to the apparent absorption coefficient,which can better reveal the interface between soil and rock,the interface between the more intact and weathered rock.The SPAC method is mainly qualitative to measure the low-speed area,namely,the wrong geological body i.e.,karst cave,but also can detect the fracture zone or filling mode of karst cave,and at the same time,cannot use exploration holes or logging observation.The electromagnetic CT method can accurately detect the location and scale of the karst caves and has a higher accuracy detecting karst bands.In addition,exploration holes or well logging observations are also expected to be conducted,and their detection effect is greatly affected by lithology.展开更多
We study the features of electromagnetically induced transparency（EIT） in a single Λ-type three-level atom placed in a high-finesse cavity under the action of a coupling laser and a probe laser.Our calculations sho...We study the features of electromagnetically induced transparency（EIT） in a single Λ-type three-level atom placed in a high-finesse cavity under the action of a coupling laser and a probe laser.Our calculations show that three transparency windows appear when the pump strength is large enough.This can be explained by the residual pump in the cavity mostly resulting in energy splitting.The level ｜3 is split into four slightly different energy levels,and interference takes place between the excitation pathways.Furthermore,it is also shown that the frequencies of the EIT windows can be tuned by changing the coupling field detuning 2,and that the reflection profile is very sensitive to the cavity field detuning △c.展开更多
基金sponsored by the National Natural Science Foundation,Youth Foundation of China,Grant/Award Number:51607146Sichuan Natural Sciences Fund,Grant/Award Number:2023NSFSC0295。
文摘In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication quality.Tubular hydrogenerators are considered the optimal generator for exploiting low-head,high-flow hydro resources,and they have seen increasingly widespread application in China's power systems recent years.However,owing to the compact and constrained internal space of such generators,their internal magnetic-field harmonics are pronounced.Therefore,accurate calculation of their THD and THF is crucial during the analysis and design stages to ensure the quality of power communication.Especially in the electromagnetic field finite element modeling analysis of such generators,the type and order of the finite element meshes may have a significant impact on the THD and THF calculation results,which warrants in-depth research.To address this,this study takes a real 34 MW large tubular hydrogenerator as an example,and establishes its electromagnetic field finite element model under no-load conditions.Two types of meshes,five mesh densities,and two mesh orders are analyzed to reveal the effect of electromagnetic field finite element mesh types and orders on the calculation results of THD and THF for such generators.
基金supported by the National Natural Science Foundation of China(Grant No.51875031)the Natural Science Foundation of Beijing,China(Grant No.3212010).
文摘Modern rotating machines,which are represented by high-end grinding machines,have developed toward high precision,intelligence,and high durability in recent years.As the core components of grinding machine spindles,grinding wheels greatly affect the vibration level during operation.The unbalance vibration self-recovery regulation(UVSRR)system is proposed to suppress the vibration of grinding wheels during workpiece processing,eliminating or minimizing the imbalance.First,technical principles and the system composition are introduced.Second,the balancing actuator in the UVSRR system is analyzed in detail.The advanced nature of the improved structure is presented through structure introduction and advantage analysis.The performance of the balancing actuator is mutually verified by the theoretical calculation of torque and software simulation.Results show that the self-locking torque satisfies the actual demand,and the driving torque is increased by 1.73 times compared with the traditional structure.Finally,the engineering application value of the UVSRR system is verified by laboratory performance comparison and actual factory application.The balancing speed and effect of the UVSRR system are better than those of an international mainstream product and,the quality of the workpieces machined in the factory improved by 40%.
基金Supported by the National Key Research and Development Program of China(No.2018YFB1702601).
文摘For the existing aspect category sentiment analysis research,most of the aspects are given for sentiment extraction,and this pipeline method is prone to error accumulation,and the use of graph convolutional neural network for aspect category sentiment analysis does not fully utilize the dependency type information between words,so it cannot enhance feature extraction.This paper proposes an end-to-end aspect category sentiment analysis(ETESA)model based on type graph convolutional networks.The model uses the bidirectional encoder representation from transformers(BERT)pretraining model to obtain aspect categories and word vectors containing contextual dynamic semantic information,which can solve the problem of polysemy;when using graph convolutional network(GCN)for feature extraction,the fusion operation of word vectors and initialization tensor of dependency types can obtain the importance values of different dependency types and enhance the text feature representation;by transforming aspect category and sentiment pair extraction into multiple single-label classification problems,aspect category and sentiment can be extracted simultaneously in an end-to-end way and solve the problem of error accumulation.Experiments are tested on three public datasets,and the results show that the ETESA model can achieve higher Precision,Recall and F1 value,proving the effectiveness of the model.
基金Funded by Grant-in-Aid Project (No.2000-3) of Interna-tional Centre for Difiraction Data and Open Foundation of State Key Lab of Advanced Tech for Mater. Synthesis and Processing
文摘An M-type hexagonal ferrite BaTiCoFe10 O19 was prepared by solid phase reaction by a partial 2Fe3+→Ti4+ Co2+ substitution. The morphology observation and phase identification of BaTiCoFe10O19 were carried out by SEM and XRD, and its X-ray powder diffraction data was reported in this paper for the first time. Further, the microwave electromagnetic properties of BaTiCoFe10O19 were measured and discussed.
文摘In recent years,karst construction projects in the built-up area of Wuhan(capital of Hubei Province,China)are increasing,and the karst geological disasters have aroused social concerns.The actual engineering projects usually use shallow geophysical exploration methods to explore karst.This paper uses Spatial Auto-Correlation Method(SPAC)and electromagnetic Computerized Tomography(CT)to detect karst in urban built-up areas.Depending on the different physical properties of rock and soil,the SPAC method can better reveal the interface between soil and rock strata and the interface between soil layers.The electromagnetic CT method can identify strata according to the apparent absorption coefficient,which can better reveal the interface between soil and rock,the interface between the more intact and weathered rock.The SPAC method is mainly qualitative to measure the low-speed area,namely,the wrong geological body i.e.,karst cave,but also can detect the fracture zone or filling mode of karst cave,and at the same time,cannot use exploration holes or logging observation.The electromagnetic CT method can accurately detect the location and scale of the karst caves and has a higher accuracy detecting karst bands.In addition,exploration holes or well logging observations are also expected to be conducted,and their detection effect is greatly affected by lithology.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 11274148 and 10704031)the Basic Scientific Research Business Expenses of the Central University,China (Grant No. lzujbky-2010-75)the Open Project of Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education,Lanzhou University,China
文摘We study the features of electromagnetically induced transparency（EIT） in a single Λ-type three-level atom placed in a high-finesse cavity under the action of a coupling laser and a probe laser.Our calculations show that three transparency windows appear when the pump strength is large enough.This can be explained by the residual pump in the cavity mostly resulting in energy splitting.The level ｜3 is split into four slightly different energy levels,and interference takes place between the excitation pathways.Furthermore,it is also shown that the frequencies of the EIT windows can be tuned by changing the coupling field detuning 2,and that the reflection profile is very sensitive to the cavity field detuning △c.
