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An intelligent control method based on artificial neural network for numerical flight simulation of the basic finner projectile with pitching maneuver

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Defence Technology（防务技术） 2024年第2期32卷 663-674页

作者： Yiming Liang Guangning Li Min Xu Junmin Zhao Feng Hao hongbo shi Northwestern Polytechnical University School of Astronautics Xi’an 710072China China North Industries Group Corporation No 203 Research Institute Xi’an 710065China

In this paper,an intelligent control method applying on numerical virtual flight is *** proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application ***,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is *** order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried *** simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight ***,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy *** intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight *** with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability *** intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.

关键词： Numerical virtual flight Intelligent control BP neural network PID Moving chimera grid

Kinematic deformation and intensity assessment of the 2021 Maduo M_(S)7.4 earthquake in Qinghai revealed by high-frequency GNSS

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Geodesy and Geodynamics 2024年第3期15卷 230-240页

作者： Yu Li Yuebing Wang Lijiang Zhao hongbo shi Pingping Wang Institute of Geophysics China Earthquake AdministrationBeijing 100081China China Earthquake Networks Center China Earthquake AdministrationBeijing 100045China Qinghai Institute of Geological Surveying and Mapping Geographic Information Qinghai 810001China Beijing Sixents Technology Co. Ltd.Beijing 100094China

Rapid acquisition of the kinematic deformation field and seismic intensity distribution of large earthquakes is crucial for postseismic emergency rescue,disaster assessment,and future seismic risk *** advancement of GNSS observation and data processing makes it play an important role in this field,especially the high-frequency *** used the differential positioning method to calculate the 1 HZ GNSS data from 98 sites within 1000 km of the M_(S)7.4 Maduo earthquake *** kinematic deformation field and the distribution of the seismic intensity by using the peak ground velocity derived from displacement waveforms were *** results show that:1)Horizontal coseismic response deformation levels ranging from 25 mm to 301 mm can be observed within a 1000 km radius from the *** response deformation on the east and west sides shows bilateral asymmetry,which markedly differs from the symmetry presented by surface rupture.2)The seismic intensity obtained through high-frequency GNSS and field investigations exhibits good consistency of the scope and orientation in the high seismic intensity area,although the former is generally slightly smaller than the latter.3)There may exist obstacles on the eastern side of the seismogenic *** Maduo earthquake induced a certain tectonic stress loading effect on the western Kunlun Pass-Jiangcuo fault(KPJF)and Maqin-Maqu segment,resulting in higher seismic risk in the future.

关键词： Maduo earthquake High-frequency GNSS Kinematic deformation Seismic intensity

Physical Prior-Guided Semi-Supervised Variable Selection and Relative Contribution Localization Network for Key Performance Indicator Process Monitoring

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Physical Prior-Guided Semi-Supervised Variable Selection and...

A subspace analysis method combining cointegration analysis and dynamic latent variables for non-stationary process fault detection

第35届中国过程控制会议

作者： Hongyu Tian Zhengheng Ding hongbo shi School of Information Science and Engineering East China University of Science and Technology

With the advancement of modern industry, the coupling and information interaction among process variables have become increasingly complex. Current key-performance-indicators-related(KPIs) process monitoring methods typically assume that the training data is sufficient and ignore the scarcity of labeled data. Additionally, not all variables are correlated with KPIs, making it inappropriate to use all variables to construct statistic for fault detection and to directly locate faults using contribution plots. To solve the above problems, we propose semi-supervised KPIs generation and faulty variable localization methods. Firstly, a physical prior-guided KPIs generation method is proposed for combining unsupervised learning and supervised learning for KPIs under the guidance of physical knowledge. Secondly, a relative contribution plot method for relevant variables is proposed for fault variable localization through the hierarchical correlation calculation of process variables and KPIs. Finally, the experiment validates the monitoring and localization performance of the proposed method in the industrial case.

关键词： Semi-supervised Learning Process Monitoring Physical Prior Variable Selection

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A subspace analysis method combining cointegration analysis ...

第35届中国过程控制会议

作者： Keyu Yao Yuguo Yang hongbo shi School of Information Science and Engineering East China University of Science and Technology

In the field of fault detection, changes in the normal state of certain parameters due to changes in actual operating conditions are very similar to those caused by faults. This results in certain normal process changes being misrecognized as process abnormalities, while certain process abnormalities that actually occur are masked by normal process changes. In order to solve the above problems, a subspace analysis method based on cointegration analysis and dynamic latent variables subspace analysis(CA-DLVSA) is proposed in this work. First, the process variables in the real industrial process are categorized into non-stationary and stationary variables using the ADF test. Second, the variables determined to be static are divided into the dynamic stationary subspace and static stationary subspace using the DLV model. For variables judged to be non-stationary, the non-stationary subspace is further divided into the dynamic stationary and static non-stationary subspace using an algorithm that combines CA and DLV. Then, the dynamic stationary spaces obtained from the stationary and non-stationary data are then combined to form the final dynamic stationary space and the static stationary portion of the stationary data is retained to form the final static stationary space. Finally, the corresponding statistics are constructed for process monitoring in both spaces. In three-phase flow process, the excellent performance of the proposed method in non-stationary process monitoring is verified by comparing the DLV, SFA, CVA, CA-DLVSA methods.

关键词： Cointegration analysis Dynamic latent variables Process Monitoring Non-stationary process

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中华民族伟大复兴的共同体叙事探微

理论学刊 2024年第3期 58-65页

作者：史宏波上海交通大学马克思主义学院上海200240

中华民族伟大复兴的共同体叙事服务于新时代中华民族伟大复兴的战略全局和国家发展目标,是对中华民族共同体实现伟大复兴历程的故事讲述。中华民族伟大复兴的共同体叙事是民族叙事、政党叙事、国家叙事的统一,它是对几代中国人复兴夙愿... 详细信息

中华民族伟大复兴的共同体叙事服务于新时代中华民族伟大复兴的战略全局和国家发展目标,是对中华民族共同体实现伟大复兴历程的故事讲述。中华民族伟大复兴的共同体叙事是民族叙事、政党叙事、国家叙事的统一,它是对几代中国人复兴夙愿的集中概括,是对中华民族历史发展方位的科学判断,也是实现中华民族伟大复兴的战略要求,因而有必要厘清中华民族伟大复兴共同体叙事的内涵意蕴、生成逻辑以及呈现的建构策略。

关键词：新时代中华民族伟大复兴共同体叙事建构策略

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基于邻域分布的去噪扩散概率模型

模式识别与人工智能 2024年第4期37卷 352-367页

作者：石洪波万博闻张赢山西财经大学信息学院太原030031 哈尔滨工程大学计算机科学与技术学院哈尔滨150009

样本有限的表格型数据缺乏不变性结构和足够样本,使得传统数据增强方法和生成式数据增强方法难以获得符合原始数据分布且具有多样性的数据.为此,文中依据表格型数据的特点和邻域风险最小化原则,提出基于邻域分布的去噪扩散概率模型(Vici... 详细信息

样本有限的表格型数据缺乏不变性结构和足够样本,使得传统数据增强方法和生成式数据增强方法难以获得符合原始数据分布且具有多样性的数据.为此,文中依据表格型数据的特点和邻域风险最小化原则,提出基于邻域分布的去噪扩散概率模型(Vicinal Distribution Based Denoising Diffusion Probabilistic Model,VD-DDPM)及相应算法.首先,分析样本有限表格型数据的特征,通过先验知识选择弱相关特征,并构建样本的邻域分布.然后,利用邻域分布采样数据构建VD-DDPM模型,并使用VD-DDPM数据生成算法生成符合原始数据分布且具有多样性的数据集.在多个数据集上针对数据生成质量、下游模型性能等进行实验,验证VD-DDPM的有效性.

关键词：数据增强邻域风险最小化邻域分布扩散模型表格型数据

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思想政治教育学科的问题自觉与方法论探赜

思想理论教育导刊 2024年第6期 138-145页

作者：史宏波李尉清上海交通大学马克思主义学院

思想政治教育学科的创立源于对思想政治教育时代问题的深切关注和历史主动,问题自觉是思想政治教育学科发展的内生动力。思想政治教育学科时刻以强烈的问题意识审视实践,在关切和回答时代问题中汇聚前进力量,在深邃的问题自觉中实现自... 详细信息

思想政治教育学科的创立源于对思想政治教育时代问题的深切关注和历史主动,问题自觉是思想政治教育学科发展的内生动力。思想政治教育学科时刻以强烈的问题意识审视实践,在关切和回答时代问题中汇聚前进力量,在深邃的问题自觉中实现自身发展。站在新的历史起点,思想政治教育学科面临新的使命担当,亟需强化问题自觉,发展为一种“问题性学术”,提升学术自主、增强学科自信,并通过这种学术方式在本土叙事中不断扩大学术影响力。这就需要探索思想政治教育学科以问题为中心的学科发展之道,在学科逻辑中强化问题意识,增强学科回应问题的解释力。

关键词：思想政治教育学科问题问题自觉

基于多子空间加权移动窗主成分分析的全厂流程早期故障检测

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浙江大学学报（工学版） 2024年第10期58卷 2076-2083页

作者：宋易盟宋冰侍洪波康永波华东理工大学能源化工过程智能制造教育部重点实验室上海200237

早期故障的特征不明显,在全厂流程中比常规故障难检测.为了提高全厂流程中早期故障的检测率和灵敏度,将检测视角由全局转移至局部,提出基于多子空间加权移动窗主成分分析(PCA)的早期故障检测方法.使用结合过程知识和数据驱动的双层子空... 详细信息

早期故障的特征不明显,在全厂流程中比常规故障难检测.为了提高全厂流程中早期故障的检测率和灵敏度,将检测视角由全局转移至局部,提出基于多子空间加权移动窗主成分分析(PCA)的早期故障检测方法.使用结合过程知识和数据驱动的双层子空间划分方法,将过程变量划分到不同子空间中.使用加权的移动窗口增大早期故障的偏移量,将局部离群因子(LOF)算法引入PCA,以便进一步关注数据的局部特征,在每个子空间中建立故障检测模型.通过贝叶斯推理融合法对各子空间的监测结果进行信息融合,获得分布式监测结果.通过工业实例验证所提方法的性能.结果表明,所提方法在全厂流程中有效提升了早期故障检测的准确率和灵敏度.

关键词：全厂流程早期故障检测两层子空间划分加权移动窗口局部离群因子贝叶斯推理融合

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“一带一路”倡议下中国职教“走出去”的典型模式及其合理优化——基于一般社会系统理论的分析视角

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中国职业技术教育 2024年第10期 3-10,57页

作者：王屹史洪波广西师范大学教育学部广西师范大学中国-东盟职业教育研究中心广西职业技术学院

推动职教“走出去”是“一带一路”倡议下我国职业教育国际化发展的重要议题之一。基于一般社会系统理论的分析视角,以发起或牵头主体为依据分析当前我国职教“走出去”行动,表现出四种典型模式,即以政府为主导的委托服务模式、以企业... 详细信息

推动职教“走出去”是“一带一路”倡议下我国职业教育国际化发展的重要议题之一。基于一般社会系统理论的分析视角,以发起或牵头主体为依据分析当前我国职教“走出去”行动,表现出四种典型模式,即以政府为主导的委托服务模式、以企业为主导的需求驱动模式、以学校为主导的供给拉动模式、以行业为主导的统筹协调模式。立足一般社会系统理论的AGIL模型,四种典型模式面临着对合作国应答性不强、目标指引力不足、行动协同性不高、长效性机制不健全的现实困厄。基于此,应以制度建构为关键,通过提升背景性力量支撑、表达与整合利益诉求、厘清角色分工与定位、形塑共享性价值观念,对我国职教“走出去”典型模式进行合理优化。

关键词： “一带一路”倡议职教“走出去” 典型模式 AGIL模型