Query：
学者姓名：张涛
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
Abstract ：
针对传统对接方法在缺少现场实测数据支持下的被动调整问题，提出基于数字孪生的机身对接精度优化控制方法.基于数字孪生虚实结合技术，研究机身对接工艺优化反馈控制技术. 搭建融合冗余控制算法和工艺优化策略的数字孪生系统，明确了基于现场实测数据的测量-优化-反馈精度优化流程. 基于有限状态机理论，精准重建数字孪生模型，实现对接过程的监控和精度预测，根据同轴度评价指标完成工艺参数二次设计，将优化后的工艺参数重新下发至物理现场、控制现场进行对接. 对接位姿偏差对比结果表明：对接精度优化控制方法将机身筒段位置偏差降低了60.03%，姿态偏差降低了53.94%.
Keyword ：
模型重构 模型重构 优化控制 优化控制 数字孪生 数字孪生 机身对接 机身对接 参数优化 参数优化
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 赵永胜 , 赵志勇 , 李迎 et al. 基于数字孪生的机身对接精度优化控制方法 [J]. | 浙江大学学报(工学版) , 2023 , 57 (5) : 883-891 . |
| MLA | 赵永胜 et al. "基于数字孪生的机身对接精度优化控制方法" . | 浙江大学学报(工学版) 57 . 5 (2023) : 883-891 . |
| APA | 赵永胜 , 赵志勇 , 李迎 , 张涛 . 基于数字孪生的机身对接精度优化控制方法 . | 浙江大学学报(工学版) , 2023 , 57 (5) , 883-891 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
本发明公开了一种基于sobol法的丝杠形变灵敏度优化分析方法，根据滚珠丝杠的传动结构和在运动状态下的丝杠的受载荷情况建立sobol采样的参数取值范围。以丝杠传动在机床各个运转状态下均正常情况运作为前提，建立丝杠传动的轴向刚度和扭转刚度的数学模型；输入sobol法，通过参数对输出方差的贡献比例进行敏感度分级，对丝杠不同节点范围的轴向刚度、扭转刚度的进行敏感度排序。将sobol法输出的数据作为灵敏度分析的结果，并分析不同节点上轴向、扭转刚度的综合贡献度。本发明可以在一定程度上减少丝杠传动的故障发生率，提高丝杠传动可靠性，并简化了修检人员对丝杠的维修及故障检测工作，该方法适用于不同结构的丝杠传动。
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 刘志峰 , 付超举 , 程强 et al. 一种基于sobol法的丝杠形变灵敏度优化分析方法 : CN202210425938.2[P]. | 2022-04-21 . |
| MLA | 刘志峰 et al. "一种基于sobol法的丝杠形变灵敏度优化分析方法" : CN202210425938.2. | 2022-04-21 . |
| APA | 刘志峰 , 付超举 , 程强 , 张涛 , 李迎 . 一种基于sobol法的丝杠形变灵敏度优化分析方法 : CN202210425938.2. | 2022-04-21 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
本发明公开了一种基于多约束的多目标柔性作业车间节能调度方法，增加炉资源加工约束和订单及工序约束，包含基于复杂约束柔性作业车间的调度模型与混合NSGA‑II和改进精确空间邻域移动算法，能够结合算法对于生产任务的分配与排序进行优化，达到缩短完工时间和减少能耗的作用。针对订单和工序批量约束问题：设计批量预处理调度策略以减少编码难度和基因数量；针对炉资源加工约束问题：设计调度过程二次编码、解码的“待加工等待序列”调度策略；针对节能调度策略：在改进算法的工序卸载环节中增加启发式方法。本发明为柔性作业车间提供了快速计划方法，建立了基于完工时间、机器总耗能的多目标模型，通过该调度方法解决多类柔性作业生产车间的调度问题。
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 程强 , 杨颜宇 , 初红艳 et al. 一种基于多约束的多目标柔性作业车间节能调度方法 : CN202210239827.2[P]. | 2022-03-12 . |
| MLA | 程强 et al. "一种基于多约束的多目标柔性作业车间节能调度方法" : CN202210239827.2. | 2022-03-12 . |
| APA | 程强 , 杨颜宇 , 初红艳 , 张涛 , 刘志峰 . 一种基于多约束的多目标柔性作业车间节能调度方法 : CN202210239827.2. | 2022-03-12 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Various deterministic and uncertain factors are widely present in mechanical equipment and their working conditions. Attenuation of the contact stiffness of bolted joints caused by bolt loosening will directly affect the dynamic characteristics of the joint surface and the working state of the equipment. This paper proposes a contact stiffness attenuation model that considers time-varying uncertainty of the bolt pre-tightening force as a theoretical basis for designing the initial bolt pre-tightening force and secondary tightening strategies. First, the microscopic contact mechanism of the bolted joint surface was revealed, and then a joint contact load and contact stiffness model based on Hertz contact theory and fractal theory was established. A nonlinear mechanical model of the bolted contact surface was obtained. Considering the decrease in bolt pre-tightening force during service, a contact stiffness attenuation law for bolted joints is explored, and a model of the connection reliability of group bolt joints with time-varying uncertainty is established. The bolt pre-tightening force of a railway locomotive was taken as an example and the connection reliability of group bolt structures was predicted, and it is defined that the bolted structure fails when the contact stiffness drops to 80% of the initial value, and the reliability of the group bolts will drop sharply on the 15th day after service, and will almost completely fail on the 22nd day. The proposed theory improves the accuracy of contact modeling and provides a new direction for bolt tightening strategies.
Keyword ：
Stiffness attenuation Stiffness attenuation Bolted joint surface Bolted joint surface Reliability prediction Reliability prediction Time-varying uncertainty Time-varying uncertainty
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Nana, Niu , Zhao Yongsheng , Yang Congbin et al. Contact stiffness attenuation model of bolted joint based on time-varying uncertainty [J]. | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 124 (11-12) : 3847-3856 . |
| MLA | Nana, Niu et al. "Contact stiffness attenuation model of bolted joint based on time-varying uncertainty" . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 124 . 11-12 (2021) : 3847-3856 . |
| APA | Nana, Niu , Zhao Yongsheng , Yang Congbin , Wu Hongchao , Ying, Li , Tao, Zhang . Contact stiffness attenuation model of bolted joint based on time-varying uncertainty . | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY , 2021 , 124 (11-12) , 3847-3856 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Harmonic drive (HD) is one of the core components of the robot joint. Studies show that tooth shape design and meshing characteristics of the HD directly affect the motion control accuracy and vibration characteristics of the robot. In the present study, common coordinate systems are established for three tooth profiles to analyze the differences between them. To this end, expressions for the double circular arc common-tangent tooth profile (DCTP), cycloid common tangent tooth profile (CCTP), and the involute tooth profile (ITP) are established in the same coordinate system. By applying the envelope conjugate theory, the conjugate existent domain (CED) and conjugate tooth profile (CTP) of the HD transmission are solved independently for each profile. Furthermore, the influences of tooth profile parameters on both the CTP and CED are analyzed. Obtained results show that both the DCTP and CCTP have more robust envelope processes when compared with the ITP. Moreover, it is found that both profiles can achieve the second conjugate and two-point conjugate engagement through applying variations in the tooth shape design parameters. It is concluded that meshing performances of the DCTP and CCTP are better than that of the ITP, providing guidelines for the future development of the harmonic reducer tooth shape design.
Keyword ：
Conjugate existent domain Conjugate existent domain Harmonic drive Harmonic drive Conjugate tooth profile Conjugate tooth profile
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Yang, Congbin , Ma, Honglie , Zhang, Tao et al. Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles [J]. | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2021 , 22 (10) : 1761-1775 . |
| MLA | Yang, Congbin et al. "Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles" . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 22 . 10 (2021) : 1761-1775 . |
| APA | Yang, Congbin , Ma, Honglie , Zhang, Tao , Liu, Zhifeng , Zhao, Yongsheng , Hu, Qiushi . Research on Meshing Characteristics of Strain Wave Gearing with Three Different Types of Tooth Profiles . | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING , 2021 , 22 (10) , 1761-1775 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The research of this topic is based on financial risk control, and Sunshine Jinke's risk prevention and control is taken as a specific research case. The data set uses user consumption data used by Sunshine Jinke. The data source is a bank's customer consumer loan records in the past five years. The feature fields are extracted according to the degree of correlation between the data and the repayment rate, and combined with the convolutional neural network and the recurrent neural network, these feature fields are processed for the differentiation of credit data and fraud data, and finally matched with user information and scored, matching The process uses the singular matrix factorization idea. Through experimental papers, this idea has good stability and accuracy in the field of risk control forecasting. © 2021 IEEE.
Keyword ：
Factorization Factorization Recurrent neural networks Recurrent neural networks Convolutional neural networks Convolutional neural networks
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Tao , Du, Yang . Research on user Credit score Model based on Fusion Neural network [C] . 2021 : 1391-1395 . |
| MLA | Zhang, Tao et al. "Research on user Credit score Model based on Fusion Neural network" . (2021) : 1391-1395 . |
| APA | Zhang, Tao , Du, Yang . Research on user Credit score Model based on Fusion Neural network . (2021) : 1391-1395 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Automatic and early drilling risks detection is a significant issue of drilling cost reduction and drilling efficiency improvement. In this paper, considering the inherent nature of drilling process data, a novel drilling risks monitoring method which can automatically detect drilling risks in real time was developed. The newly proposed method integrated wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm to realize drilling risks detection. Through the in-depth analysis of several drilling risks’ common response characteristics, two drilling risk indicators, i.e. the pressure-loss factor and the flow-rate factor, were defined firstly. Then the drilling risks monitoring model was established to model the pressure and the flow rate responses. In the model, the pressure-loss factor and the flow-rate factor were model parameters which need to be inversed using streaming-data. Finally, streaming-data-driven model parameter inversion algorithm was adopted to estimate the pressure-loss factor and the flow-rate factor in order to detect drilling risks in real time. Besides that, the validity and reliability of the method were verified by experiments. Laboratory experiments conducted on a small-scale test facility and drilling field experiments conducted in a real well had proved the good performance of this newly proposed drilling risks monitoring method. © 2020 Elsevier B.V.
Keyword ：
Monitoring Monitoring Cost reduction Cost reduction Parameter estimation Parameter estimation Risk assessment Risk assessment Boreholes Boreholes Oil field equipment Oil field equipment Hydraulics Hydraulics Infill drilling Infill drilling Risk perception Risk perception Flow rate Flow rate
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Jiang, Hailong , Liu, Gonghui , Li, Jun et al. A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm [J]. | Journal of Natural Gas Science and Engineering , 2021 , 85 . |
| MLA | Jiang, Hailong et al. "A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm" . | Journal of Natural Gas Science and Engineering 85 (2021) . |
| APA | Jiang, Hailong , Liu, Gonghui , Li, Jun , Zhang, Tao , Wang, Chao . A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm . | Journal of Natural Gas Science and Engineering , 2021 , 85 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
贷款风险分析是全球金融机构面临的共同考验.在大数据背景下,通过机器学习算法预防贷款风险具有现实意义.针对贷款数据不平衡、噪声大等特点,本文采用Boruta特征选择算法对贷款数据进行重要性筛选;提出通过综合学习粒子群算法(Comprehensive Learning Particle Swarm Optimization,CLPSO)优化CatBoost集成学习算法(CLPSO-CatBoost)的贷款风险预测方法,该算法改善了全局搜索能力、避免了陷入容易陷入局部最优的问题.CLPSO-CatBoost相较于传统信用评估模型具有更好的准确性,有实际应用价值.
Keyword ：
贷款风险 贷款风险 特征选择 特征选择 CatBoost CatBoost 综合学习粒子群 综合学习粒子群
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 张涛 , 范博 . 基于CLPSO-CatBoost的贷款风险预测方法 [J]. | 计算机系统应用 , 2021 , 30 (4) : 222-226 . |
| MLA | 张涛 et al. "基于CLPSO-CatBoost的贷款风险预测方法" . | 计算机系统应用 30 . 4 (2021) : 222-226 . |
| APA | 张涛 , 范博 . 基于CLPSO-CatBoost的贷款风险预测方法 . | 计算机系统应用 , 2021 , 30 (4) , 222-226 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
“让学引思”提升体育课堂实效
Keyword ：
体育 体育 引领学生 引领学生 思想者 思想者 课堂实效 课堂实效 让学引思 让学引思 思维状态 思维状态 新课程标准 新课程标准 素质教育 素质教育
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 张涛 , 北京教育:普教版 . “让学引思”提升体育课堂实效 [J]. | 张涛 , 2021 , (4) : 82-83 . |
| MLA | 张涛 et al. "“让学引思”提升体育课堂实效" . | 张涛 4 (2021) : 82-83 . |
| APA | 张涛 , 北京教育:普教版 . “让学引思”提升体育课堂实效 . | 张涛 , 2021 , (4) , 82-83 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
基于CLPSO-CatBoost的贷款风险预测方法
Keyword ：
特征选择 特征选择 综合学习粒子群 综合学习粒子群 贷款风险 贷款风险 CatBoost CatBoost
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 张涛 , 范博 , 计算机系统应用 . 基于CLPSO-CatBoost的贷款风险预测方法 [J]. | 张涛 , 2021 , 30 (4) : 222-226 . |
| MLA | 张涛 et al. "基于CLPSO-CatBoost的贷款风险预测方法" . | 张涛 30 . 4 (2021) : 222-226 . |
| APA | 张涛 , 范博 , 计算机系统应用 . 基于CLPSO-CatBoost的贷款风险预测方法 . | 张涛 , 2021 , 30 (4) , 222-226 . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
