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A Model-Data Driven Approach for Calibration of a 5-DOF Hybrid Machining Robot
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作者 Haitao Liu Zhibiao Yan +1 位作者 Conglin Wu Tian Huang 《Chinese Journal of Mechanical Engineering》 2025年第4期248-265,共18页
Current research on robot calibration can be roughly classified into two categories,and both of them have certain inherent limitations.Model-based methods are difficult to model and compensate the pose errors arising ... Current research on robot calibration can be roughly classified into two categories,and both of them have certain inherent limitations.Model-based methods are difficult to model and compensate the pose errors arising from configuration-dependent geometric and non-geometric source errors,whereas the accuracy of data-driven methods depends on a large amount of measurement data.Using a 5-DOF(degrees of freedom)hybrid machining robot as an exemplar,this study presents a model data-driven approach for the calibration of robotic manipulators.An f-DOF realistic robot containing various source errors is visualized as a 6-DOF fictitious robot having error-free parameters,but erroneous actuated/virtual joint motions.The calibration process essentially involves four steps:(1)formulating the linear map relating the pose error twist to the joint motion errors,(2)parameterizing the joint motion errors using second-order polynomials in terms of nominal actuated joint variables,(3)identifying the polynomial coefficients using the weighted least squares plus principal component analysis,and(4)compensating the compensable pose errors by updating the nominal actuated joint variables.The merit of this approach is that it enables compensation of the pose errors caused by configuration-dependent geometric and non-geometric source errors using finite measurement configurations.Experimental studies on a prototype machine illustrate the effectiveness of the proposed approach. 展开更多
关键词 hybrid machining robot CALIBRATION Model-data driven approach
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Editorial on the research topic:AI-driven fluorescence in situ hybridization test for early cancer detection
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作者 Simon James Fong Jia-Hui Yu Li Bao 《Medical Data Mining》 2025年第1期1-3,共3页
Introduction Early cancer detection represents a critical evolution in healthcare,addressing a significant pain point in cancer treatment:the tendency for diagnoses to occur at advanced stages.Traditionally,many cance... Introduction Early cancer detection represents a critical evolution in healthcare,addressing a significant pain point in cancer treatment:the tendency for diagnoses to occur at advanced stages.Traditionally,many cancers are not identified until they have progressed to late stages,where treatment options become limited,less effective,and more costly.This late detection results in poorer prognoses,higher mortality rates,and increased healthcare costs.Without early detection tools like Fluorescence In Situ Hybridization(FISH),these challenges persist,leaving patients with fewer opportunities for successful outcomes. 展开更多
关键词 cancer detection early cancer detection ai driven fluorescence situ hybridization fluorescence situ hybri FISH healthcare costs mortality rates
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A One-Dimensional Hybrid Simulation of DC/RF Combined Driven Capacitive Plasma 被引量:1
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作者 WANG Shuai XU Xiang WANG Younian 《Plasma Science and Technology》 SCIE EI CAS CSCD 2012年第1期32-36,共5页
We developed a one-dimensional hybrid model to simulate the DC/RF combined driven capacitively coupled plasma for argon discharges. The numerical results are used to analyze the influence of the DC source on the plasm... We developed a one-dimensional hybrid model to simulate the DC/RF combined driven capacitively coupled plasma for argon discharges. The numerical results are used to analyze the influence of the DC source on the plasma density distribution, ion energy distributions (IEDs) and ion angle distributions (IADs) on both the RF and DC electrodes. The increase in DC voltage drives more high-energy ions to the electrode applied to the DC source, which makes the IEDs at the DC electrode shift towards higher energy, and the peaks in the IADs shift towards small angle regions. At the same time, it also decreases the ion energy at the RF electrode and enlarges the incident angles of the ions, which strike the RF electrode. 展开更多
关键词 capacitively coupled plasmas DC/RF combined driven hybrid model IEDs IADs
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Dynamic Modeling and Motion Simulation for A Winged Hybrid-Driven Underwater Glider 被引量:33
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作者 王树新 孙秀军 +2 位作者 王延辉 武建国 王晓鸣 《China Ocean Engineering》 SCIE EI 2011年第1期97-112,共16页
PETREL, a winged hybrid-driven underwater glider is a novel and practical marine survey platform which combines the features of legacy underwater glider and conventional AUV (autonomous underwater vehicle). It can b... PETREL, a winged hybrid-driven underwater glider is a novel and practical marine survey platform which combines the features of legacy underwater glider and conventional AUV (autonomous underwater vehicle). It can be treated as a multi-rigid-body system with a floating base and a particular hydrodynamic profile. In this paper, theorems on linear and angular momentum are used to establish the dynamic equations of motion of each rigid body and the effect of translational and rotational motion of internal masses on the attitude control are taken into consideration. In addition, due to the unique external shape with fixed wings and deflectable rudders and the dual-drive operation in thrust and glide modes, the approaches of building dynamic model of conventional AUV and hydrodynamic model of submarine are introduced, and the tailored dynamic equations of the hybrid glider are formulated. Moreover, the behaviors of motion in glide and thrust operation are analyzed based on the simulation and the feasibility of the dynamic model is validated by data from lake field trials. 展开更多
关键词 hybrid-driven underwater glider autonomous underwater vehicle dynamic modeling momentum theorem
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Stability Analysis of Hybrid-Driven Underwater Glider 被引量:9
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作者 NIU Wen-dong WANG Shu-xin +2 位作者 WANG Yan-hui SONG Yang ZHU Ya-qiang 《China Ocean Engineering》 SCIE EI CSCD 2017年第5期528-538,共11页
Hybrid-driven underwater glider is a new type of tmmanned underwater vehicle, which combines the advantages of autonomous underwater vehicles and traditional underwater gliders. The autonomous underwater vehicles have... Hybrid-driven underwater glider is a new type of tmmanned underwater vehicle, which combines the advantages of autonomous underwater vehicles and traditional underwater gliders. The autonomous underwater vehicles have good maneuverability and can travel with a high speed, while the traditional underwater gliders are highlighted by low power consumption, long voyage, long endurance and good stealth characteristics. The hybrid-driven underwater gliders can realize variable motion profiles by their own buoyancy-driven and propeller propulsion systems. Stability of the mechanical system determines the performance of the system. In this paper, the Petrel-II hybrid-driven underwater glider developed by Tianjin University is selected as the research object and the stability of hybrid-driven underwater glider unitedly controlled by buoyancy and propeller has been targeted and evidenced. The dimensionless equations of the hybrid-driven underwater glider are obtained when the propeller is working. Then, the steady speed and steady glide path angle under steady-state motion have also been achieved. The steady-state operating conditions can be calculated when the hybrid-driven underwater glider reaches the desired steady-state motion. And the steady- state operating conditions are relatively conservative at the lower bound of the velocity range compared with the range of the velocity derived from the method of the composite Lyapunov function. By calculating the hydrodynamic coefficients of the Petrel-II hybrid-driven underwater glider, the simulation analysis has been conducted. In addition, the results of the field trials conducted in the South China Sea and the Danjiangkou Reservoir of China have been presented to illustrate the validity of the analysis and simulations.and to show the feasibility of the method of the composite Lyapunov function which verifies the stability of the Petrel-II hybrid-driven underwater glider. 展开更多
关键词 hybrid-driven underwater glider stability analysis numerical simulation field trials
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Data-model coupling driven stress field measurements
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作者 Guangbo Wang Jian Zhao +1 位作者 Jiahui Liu Dong Zhao 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2024年第4期280-290,共11页
This paper presents a method for measuring stress fields within the framework of coupled data models,aimed at determining stress fields in isotropic material structures exhibiting localized deterioration behavior with... This paper presents a method for measuring stress fields within the framework of coupled data models,aimed at determining stress fields in isotropic material structures exhibiting localized deterioration behavior without relying on constitutive equations in the deteriorated region.This approach contributes to advancing the field of intrinsic equation-free mechanics.The methodology combines measured strain fields with data-model coupling driven algorithms.The gradient and Canny operators are utilized to process the strain field data,enabling the determination of the deterioration region's location.Meanwhile,an adaptive model building method is proposed for constructing coupling driven models.To address the issue of unknown datasets during computation,a dataset updating strategy based on a differential evolutionary algorithm is introduced.The resulting optimal dataset is then used to generate stress field results.Validation against finite element method calculations demonstrates the accuracy of the proposed method in obtaining full-field stresses in specimens with local degradation behavior. 展开更多
关键词 Stress field measurements data-model coupling driven Differential evolutionary algorithm Material dataset
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A deep learning driven hybrid beamforming method for millimeter wave MIMO system
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作者 Jienan Chen Jiyun Tao +3 位作者 Siyu Luo Shuai Li Chuan Zhang Wei Xiang 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1291-1300,共10页
The hybrid beamforming is a promising technology for the millimeter wave MIMO system,which provides high spectrum efficiency,high data rate transmission,and a good balance between transmission performance and hardware... The hybrid beamforming is a promising technology for the millimeter wave MIMO system,which provides high spectrum efficiency,high data rate transmission,and a good balance between transmission performance and hardware complexity.The most existing beamforming systems transmit multiple streams by formulating multiple orthogonal beams.However,the Neural network Hybrid Beamforming(NHB)adopts a totally different strategy,which combines multiple streams into one and transmits by employing a high-order non-orthogonal modulation strategy.Driven by the Deep Learning(DL)hybrid beamforming,in this work,we propose a DL-driven nonorthogonal hybrid beamforming for the single-user multiple streams scenario.We first analyze the beamforming strategy of NHB and prove it with better Bit Error Rate(BER)performance than the orthogonal hybrid beamforming even with the optimal power allocation.Inspired by the NHB,we propose a new DL-driven beamforming scheme to simulate the NHB behavior,which avoids time-consuming neural network training and achieves better BERs than traditional hybrid beamforming.Moreover,our simulation results demonstrate that the DL-driven nonorthogonal beamforming outperforms its traditional orthogonal beamforming counterpart in the presence of subconnected schemes and imperfect Channel State Information(CSI). 展开更多
关键词 hybrid beamforming Neural network Deep learning driven Non-orthogonal beamforming
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Hybrid position/force control strategy and experiment of the six-cable driven parallel manipulator for the forty-meter aperture radio telescope
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作者 Li Jian Tang Xiaoqiang Shao Zhufeng Yao Rui 《High Technology Letters》 EI CAS 2012年第3期230-237,共8页
This paper mainly analyzes a hybrid position/force control strategy and experiment of a six-cable driven parallel manipulator for a forty-meter aperture radio telescope. Through the establishments of a kinematic model... This paper mainly analyzes a hybrid position/force control strategy and experiment of a six-cable driven parallel manipulator for a forty-meter aperture radio telescope. Through the establishments of a kinematic model, a catenary model and a cable-force characteristics model, a basic method is presented based on preventing the pseudo-drag problem of a flexible cable and realizing the hybrid position/force control for a six-cable driven parallel manipulator, and a hybrid position/force control system is developed. Some specific experiments in two typical velocities for astronomical observations are carried out. Experimental results show that the tracking accuracy is related to the speed of the movement. The desired tracking accuracy of the support system is achieved through an effective hybrid position/force control strategy, the cable forces are controlled effectively, and the pseudo-drag problem of flexible cable is solved. This study establishes the foundation of achieving the harmonious movement of the six-cable driven parallel manipulator, A-B rotating platform and the Stewart fine tuninz olatform. 展开更多
关键词 large radio telescope six-cable driven parallel manipulator hybrid position/forcecontrol tracking accuracy
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Direct driven wind energy conversion system based on hybrid excitation synchronous machine
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作者 叶斌英 阮毅 +2 位作者 杨勇 赵海花 汤燕燕 《Journal of Shanghai University(English Edition)》 CAS 2011年第6期562-567,共6页
A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine(HESM)is introduced in this paper.The generator is connected to an uncontrollable rectifier,and a fully controlled... A novel direct-drive type wind power generation system based on hybrid excitation synchronous machine(HESM)is introduced in this paper.The generator is connected to an uncontrollable rectifier,and a fully controlled voltage-sourceinverter is used to connect the system to utility grid.An intermediate DC bus exists between the rectifier and inverter.A new control strategy is proposed which achieves the maximum power point tracking(MPPT) with the control of excitation current of HESM and stabilizes the DC link voltage with the control of inverter output current simultaneously.Specially-designed buck circuit is used to control the excitation current of HESM,and grid voltage-oriented vector control strategy is employed to realize the decoupling of the inverter output power.Simulation results and experiment in 3 kW lab prototype show an excellent static and dynamic performance of the proposed system. 展开更多
关键词 maximum power point tracking(MPPT) wind energy conversion system direct-driven hybrid excitation
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A New Design Method for Realizing Accurate Track of Hybrid-driven Five-bar Mechanism
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作者 ZHU Yonggang LU Xinsheng 《International Journal of Plant Engineering and Management》 2018年第4期226-233,共8页
The concept of virtual slider crank mechanism is proposed and decoupled to obtain parameters of controllable five bar mechanism without any principle error for any given trajectory. The model is simple and easy to sol... The concept of virtual slider crank mechanism is proposed and decoupled to obtain parameters of controllable five bar mechanism without any principle error for any given trajectory. The model is simple and easy to solve. This method has no convergence,flexible workspace and singularity of the mechanism problem. Through this method,we don’ t need any curve to fit the trajectory point. Using MATLAB program to calculate,the computation time can be reduced to less than 3% of the original. Finally,an example is given to illustrate the method which is meanwhile compared with the traditional five bar design method. 展开更多
关键词 hybrid-driven five-bar mechanism virtual crank slider mechanism decoupling algorithm
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基于混合物理数据驱动的油藏地质体CO_(2)利用与封存代理模型研究 被引量:3
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作者 芮振华 邓海洋 胡婷 《钻采工艺》 北大核心 2025年第1期190-198,共9页
在全球能源转型与能源需求持续增长的背景下,碳捕获、利用和封存(CCUS)已成为极具前景的研究方向。CO_(2)利用与封存协同优化通常依赖大量的组分正演模拟,但三维高分辨率模型计算成本高昂,限制其广泛应用。基于混合物理数据驱动的GPSNe... 在全球能源转型与能源需求持续增长的背景下,碳捕获、利用和封存(CCUS)已成为极具前景的研究方向。CO_(2)利用与封存协同优化通常依赖大量的组分正演模拟,但三维高分辨率模型计算成本高昂,限制其广泛应用。基于混合物理数据驱动的GPSNet模型以其高效的计算效率已成为一种理想的代理模型,然而现有的GPSNet模型难以准确捕获复杂的相行为和组分间的相互作用,为此,文章提出了一种新型专用于组分模拟的comp-GPSNet模型,通过标准失配最小化方法和基于伴随的梯度优化算法对comp-GPSNet模型进行训练,以拟合从高分辨率模拟中获取的井响应数据。将训练后的模型应用到PUNQ-S3油藏中,全面评估复杂条件下comp-GPSNet模型的预测能力,结果表明,comp-GPSNet模型在单井和区块范围内均表现出良好的预测精度,CO_(2)利用率和封存率的预测误差分别为0.16%和3.13%。该模型为CO_(2)利用与封存协同优化提供了一个稳健的代理框架,以推动油田数字化与智能化发展。 展开更多
关键词 CCUS comp-GPSNet 混合物理数据驱动 代理模型 组分模拟
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融合知识驱动和数据驱动的混合决策模型构建:以室性心动过速病因诊断为例
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作者 王敏 胡兆 +3 位作者 徐晓巍 郑思 李姣 姚焰 《协和医学杂志》 北大核心 2025年第2期454-461,共8页
目的构建一个融合知识驱动和数据驱动的混合决策模型,并将其应用于室性心动过速的病因诊断。方法检索2018—2023年心律失常疾病领域的临床实践指南、专家共识和医学文献作为知识源,并回顾性收集2013—2023年中国医学科学院阜外医院室性... 目的构建一个融合知识驱动和数据驱动的混合决策模型,并将其应用于室性心动过速的病因诊断。方法检索2018—2023年心律失常疾病领域的临床实践指南、专家共识和医学文献作为知识源,并回顾性收集2013—2023年中国医学科学院阜外医院室性心动过速(ventricular tachycardia,VT)患者的电子病历信息作为数据集。采用基于知识规则的方法构建临床路径作为知识驱动模型;基于真实世界数据构建VT病因诊断三分类机器学习模型,并选取其中的最佳模型作为数据驱动模型代表;以临床路径为基本框架,将机器学习模型以自定义运算符的形式嵌入临床路径的决策节点中,作为混合模型。评价上述3种模型的精确率、召回率和F1分数。结果共纳入3部临床实践指南作为知识驱动模型的知识源;收集了1305条患者数据作为数据集,构建了5种机器学习模型,其中XGBoost模型最佳。混合模型采用知识驱动的决策思维,分别将XGBoost模型嵌入2层分类的决策节点中。3种模型的精确率、召回率和F1分数如下:知识驱动模型为80.4%、79.1%和79.7%;数据驱动模型分别为88.4%、88.5%和88.4%;混合模型分别为90.4%、90.2%和90.3%。结论融合知识与数据驱动的混合模型展现出更高的准确性,且混合模型的所有决策结果均基于循证证据,这更接近临床医生的实际诊断思维。未来需更严格地验证混合模型广泛应用于医学领域的可行性。 展开更多
关键词 室性心动过速 知识驱动 数据驱动 混合模型 决策支持
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机理和数据混合驱动模型预测LF精炼过程钢水硫含量
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作者 刘建华 徐晓宇 +4 位作者 何杨 罗仁辉 帅勇 袁静 操瑞宏 《江西冶金》 2025年第5期417-424,共8页
精准调控钢水硫含量是保障产品性能的核心技术指标,LF(Ladle furnace)精炼是炼钢过程关键的脱硫与控硫环节,其工艺控制水平直接影响钢水的洁净度与钢材的深加工性能。本研究在已有脱硫机理模型的基础上,引入脱硫参数(α)修正脱硫反应的... 精准调控钢水硫含量是保障产品性能的核心技术指标,LF(Ladle furnace)精炼是炼钢过程关键的脱硫与控硫环节,其工艺控制水平直接影响钢水的洁净度与钢材的深加工性能。本研究在已有脱硫机理模型的基础上,引入脱硫参数(α)修正脱硫反应的表观传质系数(J),并结合现场LF精炼不同阶段检测钢水硫含量,通过数据驱动确定脱硫参数取值,构建机理和数据混合驱动的LF精炼过程钢水硫含量预测模型;采用现场实际生产数据验证模型效果。其中,机理和数据混合驱动模型和机理模型的第一次取样硫含量预测结果误差在±2×10^(-5)以内命中率分别为86%和46%;第二次取样硫含量预测结果误差在±1×10^(-5)以内命中率分别为53%和43%;终点硫含量预测结果误差在±1×10^(-5)以内命中率分别为63%和42%。相较纯机理模型,机理与数据混合驱动模型在LF精炼过程钢水硫含量预测中展现出更优的精度与泛化性能,本研究为企业生产实际提供了参考与技术支持。 展开更多
关键词 钢包精炼炉 硫含量 机理和数据驱动 混合模型
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机理-数据混合驱动的直驱风电场分群等值方法
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作者 张英敏 李媛 +4 位作者 高仕林 李东晟 周旭 蒋奇良 王渝红 《高电压技术》 北大核心 2025年第9期4762-4773,共12页
为了提升风电并网系统的暂态仿真分析效率,需要建立风电场等值模型。现有直驱风电场等值模型存在难以适用于预想故障分析和计算效率低问题。针对该问题,提出一种机理-数据混合驱动的直驱风电场分群等值方法。首先,分析了直驱风机的故障... 为了提升风电并网系统的暂态仿真分析效率,需要建立风电场等值模型。现有直驱风电场等值模型存在难以适用于预想故障分析和计算效率低问题。针对该问题,提出一种机理-数据混合驱动的直驱风电场分群等值方法。首先,分析了直驱风机的故障后暂态响应特性,并推导了基于风机初始风速及机端故障稳态电压的风电机组分群方法。其次,提出了一种基于多层图卷积神经网络的机端故障稳态电压高效预测方法,该预测模型能够适应不同的风电场和电网拓扑。进一步,构建了风电场的三机等值模型。最后,仿真验证了所提出的分群等值方法的正确性。 展开更多
关键词 永磁直驱风机 预想故障 机理-数据混合 风电场分群 风电场等值 图卷积神经网络
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HMDV可控动惯性悬架优化设计与分数阶滑模控制研究
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作者 杨晓峰 汪伟 +4 位作者 李谕 刘昌宁 沈钰杰 刘雁玲 张天一 《振动与冲击》 北大核心 2025年第1期70-81,101,共13页
针对轮毂电机驱动汽车(hub motor driven vehicle,HMDV)因开关磁阻电机自重和电机气隙偏心导致产生的垂向振动负效应严重恶化车辆的平顺性和操稳性的问题,提出一种基于分数阶滑模控制的HMDV可控动惯性悬架优化设计方法。首先,在轮毂驱... 针对轮毂电机驱动汽车(hub motor driven vehicle,HMDV)因开关磁阻电机自重和电机气隙偏心导致产生的垂向振动负效应严重恶化车辆的平顺性和操稳性的问题,提出一种基于分数阶滑模控制的HMDV可控动惯性悬架优化设计方法。首先,在轮毂驱动电机气隙偏心产生的不平衡径向力基础上,建立HMDV 1/4混棚动惯性悬架,理论证明二阶混棚正实网络的优异性能;其次,采用HMDV二阶混棚正实网络作为参考模型,构建基于分数阶滑模控制理论的HMDV协调控制系统,在随机路面下进行平顺性仿真和分析;最后,进行HMDV 1/4悬架台架试验。试验结果表明,HMDV可控动惯性悬架与HMDV传统被动悬架相比,车身加速度均方根值、悬架动行程均方根值以及轮胎动载荷均方根值最大降幅分别为7.72%、30.64%以及11.54%。验证了所设计的HMDV可控动惯性悬架对于由开关磁阻电机造成的垂向振动负效应有优异的抑制性能。 展开更多
关键词 轮毂电机驱动汽车(HMDV) 动惯性悬架 混棚 分数阶滑模
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数据-模型混合驱动的数据中心综合能源系统优化调度综述 被引量:2
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作者 范宏 徐涛 贾庆山 《南方电网技术》 北大核心 2025年第3期174-187,共14页
为了实现数据中心的节能和减排,将数据中心融于综合能源系统进行协同优化是实现这一目标的有效途径。首先阐述了数据-模型混合驱动策略的原理,并分别对模型驱动和数据驱动在综合能源系统中的应用情况进行综述。然后,详细介绍了数据中心... 为了实现数据中心的节能和减排,将数据中心融于综合能源系统进行协同优化是实现这一目标的有效途径。首先阐述了数据-模型混合驱动策略的原理,并分别对模型驱动和数据驱动在综合能源系统中的应用情况进行综述。然后,详细介绍了数据中心的负荷预测模型以及数据-模型混合驱动在数据中心综合能源系统中的应用现状,在此基础上,提出了一种基于数据-模型混合驱动的数据中心综合能源系统调度策略框架。最后,对目前研究存在的问题进行了讨论,并对未来的发展方向做出展望,为该领域的研究人员提供参考。 展开更多
关键词 数据中心 综合能源系统 数据-模型混合驱动 优化调度
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经多端柔性变电站互联的交直流混合配电网数据驱动分布鲁棒运行模型
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作者 郑焕坤 孙耀斌 韦凯国 《华北电力大学学报(自然科学版)》 北大核心 2025年第3期12-20,31,共10页
随着分布式可再生能源渗透率的提高,交直流混合配电网呈现出明显的分区特性和较强的运行不确定性。多端口电力电子变压器(power electronic transformer,PET)能够用来构建一个功率灵活的通道,以完成交直流混合配电网中几个区域之间的电... 随着分布式可再生能源渗透率的提高,交直流混合配电网呈现出明显的分区特性和较强的运行不确定性。多端口电力电子变压器(power electronic transformer,PET)能够用来构建一个功率灵活的通道,以完成交直流混合配电网中几个区域之间的电能交换。基于此文章提出经多端柔性变电站互联的交直流混合配电网两阶段分布鲁棒运行模型,以储能装置运行维护成本、购电成本、弃风处罚成本、网损和微型燃气轮机发电成本之和最小为优化目标,采用1-范数和∞-范数描述风电输出选择典型场景的概率分布,解决风电的不确定性问题,建立数据驱动分布鲁棒优化模型。然后,采用列约束生成算法(column-and-constraint generation,CCG)求解模型。最后,通过IEEE 33节点算例对模型进行验证,该模型可以有效降低交直流混合配电网运行成本。 展开更多
关键词 交直流混合配电网 多端口电力电子变压器 不确定性 数据驱动分布鲁棒优化
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双端ADTCS下基于ISSA-FCM的工业信息物理系统多模态综合安全控制研究
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作者 李亚洁 王飞平 +1 位作者 李炜 何源奎 《控制与决策》 北大核心 2025年第11期3313-3328,共16页
针对遭受混合异步拒绝服务(DoS)攻击与执行器故障共存的工业信息物理系统(ICPS),在双端自适应离散事件触发通信机制(ADETCS)的驱动下,研究具有多目标约束的ICPS多模态综合安全控制方法.首先,设计双端ADETCS用于对传感侧和执行侧的传输... 针对遭受混合异步拒绝服务(DoS)攻击与执行器故障共存的工业信息物理系统(ICPS),在双端自适应离散事件触发通信机制(ADETCS)的驱动下,研究具有多目标约束的ICPS多模态综合安全控制方法.首先,设计双端ADETCS用于对传感侧和执行侧的传输数据进行双重筛选,其触发参数将依据系统的动态行为而自适应变化,进而基于改进的麻雀搜索优化模糊C均值(ISSA-FCM)聚类算法对不同的控制模态进行离线划分和在线识别;其次,在传感侧,基于数模联动的方法应对不同能量等级的DoS攻击,在执行侧,基于贝叶斯优化的长短期记忆网络(Bayes-LSTM)预测补偿由DoS攻击而丢失的数据,同时采用主动容错应对执行器故障;再次,通过引入α-稳定性和H_(∞)等多目标约束条件,基于构造的Lyapunov-Krascovskii泛函,推证出多目标下ICPS的鲁棒观测器和综合安全控制器的求解方法,并研究与触发参数对应的不同控制模态下多模态控制器的在线切换融合方法;最后,通过仿真实验验证所提方法的有效性和实用性,实现ICPS网络服务质量与控制系统性能之间的双向自适应. 展开更多
关键词 工业信息物理系统 混合异步DoS攻击 双端自适应离散事件触发通信机制 多目标约束 数模联动 多模态综合安全控制器
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基于零样本学习的风力机故障诊断方法 被引量:1
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作者 潘美琪 贺兴 《上海交通大学学报》 北大核心 2025年第5期561-568,共8页
在工程实践中,风力机故障诊断面临训练故障与实际故障类别不同的情况,为实现对风力机未知故障的诊断,需要将训练过程中习得的故障特征信息迁移至未知故障中.不同于直接建立故障样本与故障类别间映射关系的传统方法,提出一种基于零样本... 在工程实践中,风力机故障诊断面临训练故障与实际故障类别不同的情况,为实现对风力机未知故障的诊断,需要将训练过程中习得的故障特征信息迁移至未知故障中.不同于直接建立故障样本与故障类别间映射关系的传统方法,提出一种基于零样本学习的风力机故障诊断方法来完成故障特征迁移.通过描述每种故障的属性建立故障属性矩阵,将其嵌入故障样本空间与故障类别空间之中;并基于卷积神经网络建立故障属性学习器,基于欧氏距离建立故障分类器,形成从故障样本预测故障属性进而分类故障的诊断流程.最后通过与其他零样本学习方法的对比验证了所提故障诊断方法的有效性和优越性. 展开更多
关键词 风力机故障诊断 零样本学习 卷积神经网络 知识-数据混合驱动
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Data-Model Hybrid Driven Topology Identification Framework for Distribution Networks 被引量:2
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作者 Dongliang Xu Zaijun Wu +1 位作者 Junjun Xu Qinran Hu 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2024年第4期1478-1490,共13页
Extensive penetration of distribution energy resources(DERs)brings increasing uncertainties to distribution networks.Accurate topology identification is a critical basis to guarantee robust distribution network operat... Extensive penetration of distribution energy resources(DERs)brings increasing uncertainties to distribution networks.Accurate topology identification is a critical basis to guarantee robust distribution network operation.Many algorithms that estimate distribution network topology have already been employed.Unfortunately,most are based on data-driven alone method and are hard to deal with ever-changing distribution network physical structures.Under these backgrounds,this paper proposes a data-model hybrid driven topology identification scheme for distribution networks.First,a data-driven method based on a deep belief network(DBN)and random forest(RF)algorithm is used to realize the distribution network topology rough identification.Then,the rough identification results in the previous step are used to make a model of distribution network topology.The model transforms the topology identification problem into a mixed integer programming problem to correct the rough topology further.Performance of the proposed method is verified in an IEEE 33-bus test system and modified 292-bus system. 展开更多
关键词 data-model hybrid driven DBN-RF mixed-integer programming topology identification
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