基于有限元法的驻波型直线超声波电机振动特性分析

采用有限元法研究一种驻波型直线超声波电机的振动特性。建立了电机的三维有限元模型,在有限元模型的基础上对电机进行模态分析,得到了电机横向一阶弯曲振动的共振频率,并分析了驱动足的位置对共振频率的影响。在模态分析的基础上,给电机通以高频交流电进行谐响应分析,研究电机在外加电源作用下的横向弯曲振动的振幅以及驱动足尖的运动轨迹。制作了驻波型直线超声波电机样机,对样机进行阻抗-频率特性测试,测试结果验证了理论分析结果。     

T型尾翼民机深失速气动特性的计算研究

以非结构混合网格上的雷诺平均N-S方程(RANS)求解方法为基础,对采用T型尾翼的某民机外形在大迎角深失速情况下的粘性绕流进行了数值模拟,获得了该机在巡航和降落外形在深失速情况下的气动特性变化规律.通过对T型尾翼深失速情况下的流动特点进行分析,解释了T型尾翼布局飞机在深失速情况下俯仰力矩系数会随迎角出现不利于纵向稳定性的变化趋势的原因.     

考虑状态约束的弹性高超声速飞行器自适应饱和容错控制

针对弹性高超声速飞行器跟踪控制问题进行研究,主要考虑状态约束、输入饱和、执行器故障等约束条件.首先,将弹性模态、外界干扰和模型参数不确定性归结为一类带有未知上界的系统干扰.其次,根据被动容错思想,针对速度和高度子系统分别设计抗饱和自适应容错控制器,通过引入双曲正切函数和新型屏障李雅普诺夫函数分别处理了输入饱和与状态约束...     

大跨度斜拉桥综合评估系统的研制与开发

将不确定型层次分析法、模糊理论、集值统计原理等方法应用于大跨度斜拉桥的综合评估中,建立了斜拉桥综合评估的指标体系和评估模型,并通过哈尔滨松花江斜拉桥综合评估的实例,证明了该评估体系的可行性与实用性。在此基础上,采用VC 语言,引入面向对象技术,开发了大跨度斜拉桥综合评估系统,实现了大跨度斜拉桥综合评估的自动化和可视化,可为桥梁的养护管理提供科学依据。     

民用航空发动机ETOPS型号设计和符合性验证方法研究

航空发动机延程运行（ETOPS）资格是飞机延程运行的基础,为了给国内航空发动机ETOPS型号设计及适航符合性验证提供指导,研究ETOPS适航规章形成的历程及航空发动机早期ETOPS资格的设计和试验要求。分析发动机ETOPS适航条款与飞机ETOPS适航条款的关系,提出一种民用航空发动机ETOPS型号的设计及符合性验证方法。结果表明：本文提出的验证方法为指导民用航空发动机早期ETOPS型号设计和符合性验证提供了依据。     

基于AI+神经网络的数字化故障电弧识别方案研究

线路故障电弧的特征随着电力电子技术的提高更趋复杂，传统的故障电弧识别方式已无法应对新型用电系统。对比传统故障电弧识别方案，研究故障电弧产生类型和新型检测技术，提出基于谐波因素、总谐波畸变率、电流零休时间、电流变化速率、电流周期性等典型时域、频域特征的AI+神经网络的数字化故障电弧识别方案。该方案运用回归算法向量机对特征图进行分类处理，通过正向传输运算、反向传输运算和迭代回归运算三个步骤执行卷积神经网络，频繁迭代回归以获得最佳特征识别图。本文以调光器的故障电弧识别为例，对故障识别方案进行验证，结果表明采用此方案可实现更高效、更精准、更稳定地识别故障电弧。     

Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey

In practical mechanical fault detection and diagnosis, it is difficult and expensive to collect enough large-scale supervised data to train deep networks. Transfer learning can reuse the knowledge obtained from the source task to improve the performance of the target task, which performs well on small data and reduces the demand for high computation power. However, the detection performance is significantly reduced by the direct transfer due to the domain difference. Domain adaptation (DA) can transfer the distribution information from the source domain to the target domain and solve a series of problems caused by the distribution difference of data. In this survey, we review various current DA strategies combined with deep learning (DL) and analyze the principles, advantages, and disadvantages of each method. We also summarize the application of DA combined with DL in the field of fault diagnosis. This paper provides a summary of the research results and proposes future work based on analysis of the key technologies.     

New findings and appraisal of structural control on polygonal impact crater rim-geometry,a study from Mare Fecunditatis,Moon

Polygonal Impact Craters (PICs), having a distinct polygonal rim geometry, are common on terrestrial planets, their natural satellites such as Earth’s Moon and the asteroids. The straight segments of PIC-rims are arguably subparallel or oblique to existing fracture/fault planes in their vicinity, and such pre-existing structural weak planes are considered responsible for the shape of the PICs. The Mare Fecunditatis, a lunar maria, preserves mappable PICs as well as different geomorphic features like wrinkle ridges, grabens and pit crater chains which owe their origin to either compressional or extensional faulting. To understand the structural control, if any, on the PIC-rim geometry in Mare Fecunditatis, PICs, both simple and complex, and the deformational features are mapped, superposition relations between them are observed and trends are compared. The comparison between frequency of rim segment trends of the two types of PICs with wrinkle ridges, grabens and pit crater chains, and also statistical correlation between them, interestingly indicate that the wrinkle ridges and grabens are found to have negligible or no influence on the rim geometry of the PICs. Wrinkle ridges, known to be a group of the Mare Fecunditatis' oldest deformation features, are older than most of the preserved craters and are likely to have had control over the PIC shape. However, lack of correlation between the trends of wrinkle ridges and PIC rims indicates that most of the craters were formed after the fractures beneath the old wrinkle ridges ceased to act as mechanical discontinuity planes due to possible induration caused by fracture-filling through concomitant and later magma injection. The PICs dispersed throughout the maria could have avoided the influence of the grabens, the majority of which are located near the margin of the maria. Pit crater chains with possible deep roots and still/recently continued dike activities, were the only available weak planes which could influence the PIC rim shapes.     

一种空间机器人用复杂末端执行装置的可靠性验证方法

对空间机器人用末端执行装置的功能展开分析，确定表征产品功能的可靠性特征参数和分布类型，提出一种可靠性试验验证方法。结合空间站机械臂末端执行器给出具体应用验证，包括产品分析、可靠性模型的建立、特征量和分布类型的确定、样本量的选取和故障判据等内容，为其他复杂空间产品的可靠性验证提供思路。该验证方法基于计量型可靠性试验的基本思路，通过极小的样本量完成产品的可靠性验证，大幅缩减研制经费，降低科研成本。     

Continual learning fault diagnosis:A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments

As a data-driven approach, Deep Learning(DL)-based fault diagnosis methods need to collect the relatively comprehensive data on machine fault types to achieve satisfactory performance. A mechanical system may include multiple submachines in the real-world. During condition monitoring of a mechanical system, fault data are distributed in a continuous flow of constantly generated information and new faults will inevitably occur in unconsidered submachines, which are also called machine increments....