疫情下，一种完全线上教学模式的实践

Currently, novel coronavirus is spreading all over the world, colleges and universities all use a variety of informatization methods actively responded to the call of the Ministry of Education. They all have launched online teaching practices to achieve "suspend classes without stopping teaching and learning”. This article takes the Fundamentals of Analog Circuits course as an exam- ple to introduce the process of a completely online teaching activity in detail under the novel coronavirus situation.     

Density estimates on the unit simplex and calculation of the mode of a sample

This paper addresses reliable and efficient calculation of the mode of a multivariate sample, which is a classical fusion function. In particular, we focus on the inputs given on the unit simplex, when aggregating elements of Atanassov intuitionistic fuzzy sets, interval-valued fuzzy sets and their extensions, as well as compositional data. We outline the use of a specially designed 2-additive fuzzy measures and the Choquet integral for the purposes of reducing computational complexity in higher dimensions. We present computational analysis and benchmark four different methods of density-based mode estimation.     

《电机与拖动基础》课程教学改革研究

针对《电机与拖动基础》课程特点和传统教学方法弊端,提出了一系列改革措施。通过引入计算机仿真加深学生对基本概念和基本原理的认知；应用对比教学法有利于学生掌握各知识点的共性和差异；采用问题教学法使学生带着问题去学习,提高学习的针对性；通过规范实验流程、增加设计性和综合性实验,培养学生基本实验设计能力,提高学生理论实践结合能力和创新能力；采用多种考核方式,客观反映学生学习效果,督促学生重视实验过程。     

航空装备维修保障模式数字化转型

针对航空装备维修保障未来发展需求，通过分析维修保障模式转型的外部需求、内在特点和技术支撑条件，提出了转型的必要性和前景，认为航空维修保障模式下一步转型的方向是全面数字化。数字化转型的本质是全行业、全业务数字化，其基础是全要素数字化，关键是全要素互联，核心是现实世界与数字镜像构建的信息物理系统。必须建立系统科学的观点，依托数字技术手段并通过信息网络的互联和智能科学的支撑方能实现。此外，还提出了相应的研究方向和课题。     

航空装备保障智能化发展认识与探讨

自新一代人工智能技术迅猛发展以来，世界各国在智能领域动作频繁，军事化应用明显有加速之势，给装备保障带来了变革性发展的机遇。紧密围绕作战-装备-技术-保障之间的依托关系，从作战需求、装备特点、装备设计、诊断测试和技术驱动等五个角度梳理了装备保障发展的关键因素，给出了装备保障60余载发展历程的诸多原因和显著成果；通过对未来作战模式和未来作战平台保障需求的前瞻性判断，分析了未来作战需求和装备牵引装备保障转变的典型技术特征；并在装备保障领域人工智能技术的发展和应用现状总结分析的基础上，系统地提出了装备保障智能化发展的建设性意见和建议，为国内装备保障智能化发展探索了一个可能的技术方向。     

PBL教学模式在“软件工程”课程教学中的应用

由于学科特性与教学要求,“软件工程”课程教学对实践性和系统性的要求极高。PBL教学模式作为一种自主式教学的新型模式,在教育领域受到广泛关注。文章基于PBL教学模式的特点及优势,结合“软件工程”课程教学改革趋势及教学实践中面临的主要困境,系统分析了PBL教学模式应用于“软件工程”课程教学的途径,以期为促进“软件工程”的课程教学改革及教学质量提高提供参考及借鉴。     

Model reduction for nonlinear multiscale parabolic problems using dynamic mode decomposition

In this article, a model reduction technique is presented to solve nonlinear multiscale parabolic problems using dynamic mode decomposition. The multiple scales and nonlinearity bring great challenges for simulating the problems. To overcome this difficulty, we develop a model reduction method for the nonlinear multiscale dynamic problems by integrating constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) with dynamic mode decomposition (DMD). CEM-GMsFEM has shown great efficiency to solve linear multiscale problems in a coarse space. However, using CEM-GMsFEM to directly solve multiscale nonlinear parabolic models involves dynamically computing the residual and the Jacobian on a fine grid. This may be very computationally expensive because the evaluation of the nonlinear term is implemented in a high-dimensional fine scale space. As a data-driven method, DMD can use observation data and give an explicit expression to accurately describe the underlying nonlinear dynamic system. To efficiently compute the multiscale nonlinear parabolic problems, we propose a CEM-DMD model reduction by combing CEM-GMsFEM and DMD. The CEM-DMD reduced model is a coarsen linear model, which avoids the nonlinear solver in the fine space. It is crucial to judiciously choose observation in DMD. Only proper observation can render an accurate DMD model. In the context of CEM-DMD, we introduce two different observations: fine scale observation and coarse scale observation. In the construction of DMD model, the coarse scale observation requires much less computation than the fine scale observation. The CEM-DMD model using the coarse scale observation gives a complete coarse model for the nonlinear multiscale dynamic systems and significantly improves the computation efficiency. To show the performance of the CEM-DMD using the different observations, we present a few numerical results for the nonlinear multiscale parabolic problems in heterogeneous porous media.     

A new controller for boost dc–dc converters based on a novel sliding surface

ABSTRACT

In this paper, two control schemes for boost converters affected by uncertainties in input voltage and load are proposed. The boost converter dynamics is redefined in terms of new state variables to facilitate the use of a disturbance observer that can estimate matched and unmatched disturbances. A sliding surface, which is new in the context of boost converters, is proposed to enable tracking and regulation of output voltage without requiring measurement of input voltage and load current. The stability of the overall system including the disturbance observer, the sliding variable and the output is proved. The performance of the schemes is assessed for regulation of output voltage and tracking of reference voltage by simulation as well as experimentation in which various types of uncertainties and various types of reference voltages are considered.     

基于滑模变结构控制的三段式继电保护离线整定的定值性能分析

在传统的三段式继电保护离线整定的定值性能分析过程中，常因定值选择不合理而导致定值计算准确度低。为此，在确定影响分支系数大小的因素的基础上，将分支系数看作为预计算变量，建立故障分析模型，计算三段式继电保护过程后备保护定值；设定三段式继电保护离线整定定值优化约束条件，采用滑膜变结构控制方法设定控制策略，结合惩罚函数的形式将约束条件添加到目标函数中，将定值性能分析问题转化为无约束优化问题，实现基于滑模变结构控制的三段式继电保护离线整定的定值性能分析。实验结果表明，相比于传统方法，该方法的定值准确度更高，定值性能更好。     

基于VMD与时间序列分析的滚动轴承故障特征提取方法

为了在非线性、非平稳的滚动轴承故障振动信号中有效提取出敏感的故障特征,提出了基于变分模态分解(VMD)与时间序列分析相结合的特征提取方法。首先通过VMD将原始信号分解为不同预设尺度的本征模态分量(IMF),对各个IMF分量建立时间序列预测模型,通过叠加重构得到最终的预测模型,比较评价指标确定最优参数的选取。最后,通过仿真信号与滚动轴承实际故障数据分析,并与经验模式分解(EMD)进行对比,结果表明该方法能够有效的提取到故障特征频率。