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110篇 您的检索式:作者名="Zeliang"
    题名 作者 年代 出处 被引量
1Multi-objective Transmission Expansion Planning Considering Life Cycle Cost显示文摘为克服目前全寿命周期成本(life cycle cost,LCC)技术的应用局限于设备运行或维护阶段的不足,针对输电网整体建立一个3维LCC层级模型,包括时间维度、元件维度和费用维度。费用维度进一步分解为设备级、系统级、外部环境成本。研究了以可靠性为中心的维护手段的应用对维护成本的影响,利用电量不足期望值计算故障成本。在此基础上,对风电等4种不确定因素进行建模,建立以LCC成本最小和切负荷量最小为多目标的输电网机会约束规划模型。采用正态边界交点算法联合改进小生境遗传算法,对模型有效求解。最后,分别对18节点系统和77节点系统进行算例分析。研究结果给出了帕累托解集及推荐的最优规划方案;此外,LCC费用分解图表明了各费用的比重和影响,有利于指导未来资产管理。LIU Lu CHENG Haozhong MA Zeliang YAO Liangzhong BAZARGAN Masoud 2012中国电机工程学报2012,32,22:31
2An Ebola virus-encoded microRNA-like fragment serves as a biomarker for early diagnosis of Ebola virus disease显示文摘Zeliang Chen Hongwei Liang Xi Chen Yuehua Ke Zhen Zhou Mingjuan Yang Ke Zen Ruifu Yang Chao Liu Chen-Yu Zhang 2016Cell Research2016,26,3:7
3A Hybrid Diagnosis Method for Inverter Open-circuit Faults in PMSM Drives显示文摘In order to improve the evaluation process of inverter open-circuit faults diagnosis in permanent magnet synchronous motor(PMSM)drives,this paper presents a diagnosis method based on current residuals and machine learning models.The machine learning models are introduced to make a comprehensive evaluation for the current residuals obtained from a state observer,instead of evaluating the residuals by comparing with thresholds.Meanwhile,fault diagnosis and location are conducted simultaneously by the machine learning models,which simplifies the diagnosis process.Besides,a sampling strategy is designed to implement the proposed scheme online.Experiments are carried out on a DSP based PMSM drive,and the effectiveness of the proposed method is verified.Zeliang Zhang Guangzhao Luo Zhengbin Zhang Xuecheng Tao 2020CES Transactions on Electrical Machines and Systems2020,4,3:4
4Electric-field-controlled superconductor–ferromagnetic insulator transition显示文摘Superconductivity beyond electron-phonon mechanism is always twisted with magnetism. Based on a new field-effect transistor with solid ion conductor as the gate dielectric(SIC-FET), we successfully achieve an electric-field-controlled phase transition between superconductor and ferromagnetic insulator in(Li,Fe)OHFeSe. A dome-shaped superconducting phase with optimal T_c of 43K is continuously tuned into a ferromagnetic insulating phase, which exhibits an electric-field-controlled quantum critical behavior. The origin of the ferromagnetism is ascribed to the order of the interstitial Fe ions expelled from the(Li,Fe)OH layers by gating-controlled Li injection. These surprising findings offer a unique platform to study the relationship between superconductivity and ferromagnetism in Fe-based superconductors. This work also demonstrates the superior performance of the SIC-FET in regulating physical properties of layered unconventional superconductors.Likuan Ma Bin Lei Naizhou Wang Kaishuai Yang Dayong Liu Fanbao Meng Chao Shang Zeliang Sun Jianhua Cui Changsheng Zhu Tao Wu Zhe Sun Liangjian Zou Xianhui Chen 2019Science Bulletin2019,64,10:4
5Implementing a topological quantum model using a cavity lattice显示文摘Kitaev model has both Abelian and non-Abelian anyonic excitations.It can act as a starting point for topological quantum computation.However,this model Hamiltonian is difficult to implement in natural condensed matter systems.Here we propose a quantum simulation scheme by constructing the Kitaev model Hamiltonian in a lattice of coupled cavities with embedded Λ-type three-level atoms.In this scheme,several parameters are tunable,for example,via external laser fields.Importantly,our scheme is based on currently existing technologies and it provides a feasible way of realizing the Kitaev model to explore topological excitations.XIANG ZeLiang YU Ting ZHANG WenXian HU XueDong YOU JianQiang 2012Science China(Physics,Mechanics & Astronomy)2012,55,9:4
6Optimized design and experiment of the three-arm transplanting mechanism for rice potted seedlings显示文摘The transplanting arm of two-arm transplanting mechanism is easy to cause seedlings injury and missing due to its faster speed relative to the seedlings.In order to solve the existed problems,a three-arm transplanting mechanism for rice potted seedlings was developed in this study.The developed three-arm transplanting mechanism for rice potted seedling can make the transplanting arm realize special trajectory and attitude through the unequal planetary gear transmission.The kinematic model of three-arm transplanting mechanism for rice potted seedling was established,and the optimal design software was developed.Based on the heuristic optimization algorithm named“parameter guide”,a set of satisfied mechanism parameters required by the rice potted seedling transplanting were obtained.The trajectory and attitude of three-arm transplanting mechanism used for the rice potted seedling were analyzed.Besides,the virtual simulation results were basically consistent with the optimization software results,and the correctness of theoretical analysis and virtual simulation were also verified by each other.When the developed transplanting mechanism picked up the seedling,the velocity of transplanting arm relative to the seedling was reduced by about 30%.The results showed that the injury rate of rice potted seedling transplanting mechanism was 0.04%,the missing rate of seedling was 1.4%,the integrity rate of seedling pot matrix was 96%,and the success rate of picking seedling was 99.92%.Jianjun Yin Zeliang Wang Maile Zhou Luning Wu Yan Zhang 2021International Journal of Agricultural and Biological Engineering2021,14,5:3
7Discovery of multi-drug resistant,MCR-1 and ESBL-coproducing ST117 Escherichia coli from diseased chickens in northeast China显示文摘An endemic multi-drug resistant ST117 E. coli isolate coproducing MCR-1 and 3 ESBL loci was, for the first time, detected from diseased chicken, Liaoning Province, in Northeast China, from 2011 to 2012. Wholegenome sequencing revealed 5 unique plasmids, namely pHXH-1, pHXH-2, pHXH-3, pHXH-4 and pHXH-5). Among them, pHXH1 and pHXH4 encode ESBL, and pHXH-5 mediates MCR-1 colistin resistance. The results indicate that the potentially-national dissemination of MCR-1-positive pathogens with pan-drug resistance proceeds via food chains.Sijia Ding Xiaohu Han Jun Li Weifan Gao Zeliang Chen Youjun Feng 2018Science Bulletin2018,63,16:2
8Reverse Engineering of Machine-tool Settings with Modified Roll for Spiral Bevel Pinions显示文摘Although a great deal of research has been dedicated to the synthesis of spiral bevel gears, little related to reverse engineering can be found. An approach is proposed to reverse the machine-tool settings of the pinion of a spiral bevel gear drive on the basis of the blank and tooth surface data obtained by a coordinate measuring machine(CMM). Real tooth contact analysis(RTCA) is performed to preliminary ascertain the contact pattern, the motion curve, as well as the position of the mean contact point. And then the tangent to the contact path and the motion curve are interpolated in the sense of the least square method to extract the initial values of the bias angle and the higher order coefficients(HOC) in modified roll motion. A trial tooth surface is generated by machine-tool settings derived from the local synthesis relating to the initial meshing performances and modified roll motion. An optimization objective is formed which equals the tooth surface deviation between the real tooth surface and the trial tooth surface. The design variables are the parameters describing the meshing performances at the mean contact point in addition to the HOC. When the objective is optimized within an arbitrarily given convergence tolerance, the machine-tool settings together with the HOC are obtained. The proposed approach is verified by a spiral bevel pinion used in the accessory gear box of an aviation engine. The trial tooth surfaces approach to the real tooth surface on the whole in the example. The results show that the convergent tooth surface deviation for the concave side on the average is less than 0.5 μm, and is less than 1.3 μm for the convex side. The biggest tooth surface deviation is 6.7 μm which is located at the corner of the grid on the convex side. Those nodes with relative bigger tooth surface deviations are all located at the boundary of the grid. An approach is proposed to figure out the machine-tool settings of a spiral bevel pinion by way of reverse engineering without having known the theoretical tooth surfaces and the corresponding machine-tool settings.LIU Guanglei CHANG Kai LIU Zeliang 2013Chinese Journal of Mechanical Engineering2013,26,3:2
9Premium Connection Downhole Tubing Corrosion显示文摘Shuanlu Lu Jianmin Xiang Yanjun Kang Zeliang Chang Xunchang Dong Tongguang Zhai 2008Materials Performance2008,,5:2
10Dynamic VAR planning methodology to enhance transient voltage stability for failure recovery显示文摘In recent years, failure recovery after faults is concerned and discussed worldwide as an important and hot topic. Facing the challenge of heavy loads and ultrahigh voltage transmission, it's urgent to propose some solutions to enhance transient voltage stability for failure recovery. Therefore, a novel dynamic volt ampere reactive(VAR) planning methodology is proposed in this paper to help failure recovery and improve transient voltage stability after contingencies. First, a transient voltage fluctuation(TVF) index is proposed to evaluate transient voltage condition after faults. Then dynamic compensationsensitivity is presented for searching the best candidate locations. Following that, the dynamic VAR planning methodology based on an improved Tent chaos multi-objective algorithm is discussed in detail. There are two optimization objects in the optimization. One is to minimize TVF to enhance transient voltage stability for failure recovery. And the other optimization is to minimize dynamic VAR investment cost and operation cost. Finally,IEEE 39 power system and a practical power system are analyzed and discussed. The proposed dynamic VAR planning methodology can support enough reactive power for failure recovery. With the least SVC planning amount and the power loss cost, it can greatly decrease the system TVF index and enhance the transient voltage stability. It's proved that the proposed dynamic VAR planning optimization is effective and helpful for safety operation of power system.Di YANG Haozhong CHENG Zeliang MA Liangzhong YAO Zhonglie ZHU 2018Journal of Modern Power Systems and Clean Energy2018,6,4:2
11New approach for the digital reconstruction of complex mine faults and its application in mining显示文摘Visualization of complex geological structures can technically support the accurate prediction and prevention of coal mine disasters.This study proposed a new digital reconstruction method to visualize geological structures based on establishing a virtual model in the digital twin system.This methodology for the digital reconstruction of complex fault structures comprises the following four aspects:(1)collection and fdelity of multi-physical feld data of the fault structures,(2)the transmission of multi-physical feld data,(3)the normalization of multi-physical feld data,and(4)digital model reconstruction of fault structures.The key scientifc issues of this methodology to be resolved include in situ fdelity of multi-feld data and normalized programming of multi-source data.In addition,according to the geological background and conditions in Da’anshan coal mine in western Beijing,China,a preliminary attempt is made to reconstruct a digital model of fault and fold structures using the methodology proposed in this study.Hongwei Wang Zeliang Wang Yaodong Jiang Jiaqi Song Meina Jia 2022International Journal of Coal Science & Technology2022,9,3:2
12Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images显示文摘The segmentation of tomographic images of the battery electrode is a crucial processing step,which will have an additional impact on the results of material characterization and electrochemical simulation.However,manually labeling X-ray CT images(XCT)is time-consuming,and these XCT images are generally difficult to segment with histographical methods.We propose a deep learning approach with an asymmetrical depth encode-decoder convolutional neural network(CNN)for real-world battery material datasets.This network achieves high accuracy while requiring small amounts of labeled data and predicts a volume of billions voxel within few minutes.While applying supervised machine learning for segmenting real-world data,the ground truth is often absent.The results of segmentation are usually qualitatively justified by visual judgement.We try to unravel this fuzzy definition of segmentation quality by identifying the uncertainty due to the human bias diluted in the training data.Further CNN trainings using synthetic data show quantitative impact of such uncertainty on the determination of material’s properties.Nano-XCT datasets of various battery materials have been successfully segmented by training this neural network from scratch.We will also show that applying the transfer learning,which consists of reusing a well-trained network,can improve the accuracy of a similar dataset.Zeliang Su Etienne Decencière Tuan-Tu Nguyen Kaoutar El-Amiry Vincent De Andrade Alejandro A.Franco Arnaud Demortière 2022npj Computational Materials2022,,1:2
13Modeling Arctic Intermediate Water: The effects of Neptune parameterization and horizontal resolution显示文摘Arctic Intermediate Water (AIW), advected from the North Atlantic Ocean, has a potential influence on climate in the Arctic region, but is poorly simulated in coarse resolution models. In this study, a coupled ice-ocean model is used to investigate features of AIW by conducting two sensitivity experiments based on Neptune parameterization and horizontal resolution. The results show that both experiments improve the modeling of temperature profiles in the western Eurasian Basin, mainly as a result of more realistic volume and heat transport through the Fram Strait. Topographical flows are well reproduced using Neptune parameterization or a finer horizontal resolution. In the eddy-permitting model with relatively higher resolution, the velocity field is more realistic than in the Neptune parameterization model, and complexinflow and outflow belts of barotropic structure are well reproduced. The findings of this study suggest that increased model resolution, as provided by an eddy-resolving model, is needed to reproduce realistic circulation and thermohaline structure in the Arctic, since the Rossby radius of deformation is only several kilometers in the Arctic Ocean. This paper focuses on the external heat input rather than internal mixing process, and obtains a conclusion that the heat input from the Fram Strait is a main factor to reproduce AIW in the Eurasian Basin successfully, at least for the western part.LI Xiang SU Jie WANG Zeliang ZHAO Jinping 2013Advances in Polar Science2013,24,2:2
14Wear behavior of ceramic nozzles in sandblasting treatmen ts 显示文摘DENG Jianxin FENG Yihua DING Zeliang 2003Journal of the European Ceramic Society Volume2003,23,2:1
15Wear Surface Studies on Coal Water Slurry Nozzles in Industry Boilers显示文摘Ding Zeliang Deng Jianxin Li Jianfeng 0,,05:1
16An effieient SVPWM algorithm with low computational overhead for three-phase inverters显示文摘SHU Zeliang TANG Jian CUO Yuhua 2007IEEE Transactions on Power Electronics2007,22,5:1
17A wall - climbing robot for labeling scale of oil tank' s volume显示文摘Xu Zeliang 2002Robotica2002,,3:1
18An Efficient SVP-WM Algorithm with Low Computational Overhead forThree-phase Inverters显示文摘Shu Zeliang Tang Jian Guo Yuhua 2007IEEE Trans on Power Electronics2007,22,5:1
19Analysis of Premium Connection Downhole Tubing Corrosion显示文摘Lv Shuanlu Xiang Jianmin Chang Zeliang 2008Material Performance2008,2008,:1
20Visual Speech Recognition Based on Improved Type of Hidden Markov Model 显示文摘ZHANG Zeliang LI Xiongfei YANG Chengjia 2012Journal of Convergence Information Technology2012,7,13:1
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