环境规制对技术创新的影响研究

本文选取了我国2005—2017年30个省份的面板数据,运用Sys-GMM估计法测度了环境规制强度及其异质性对技术创新的影响效应。结果表明:环境规制强度对技术创新有着先促进后抑制的作用;异质性方面,命令控制型、市场激励型、公众参与型环境规制对技术创新的影响也都具有先促进后抑制的作用,公众参与型规制对技术创新的促进作用最明显,市场激励型次之,命令控制型最弱。此外,本文通过构建门槛模型,研究发现环境规制对技术创新的影响具有门槛效应。     

Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning

In aerospace industry, gears are the most common parts of a mechanical transmission system. Gear pitting faults could cause the transmission system to crash and give rise to safety disaster. It is always a challenging problem to diagnose the gear pitting condition directly through the raw signal of vibration. In this paper, a novel method named augmented deep sparse autoencoder (ADSAE) is proposed. The method can be used to diagnose the gear pitting fault with relatively few raw vibration signal data. This method is mainly based on the theory of pitting fault diagnosis and creatively combines with both data augmentation ideology and the deep sparse autoencoder algorithm for the fault diagnosis of gear wear. The effectiveness of the proposed method is validated by experiments of six types of gear pitting conditions. The results show that the ADSAE method can effectively increase the network generalization ability and robustness with very high accuracy. This method can effectively diagnose different gear pitting conditions and show the obvious trend according to the severity of gear wear faults. The results obtained by the ADSAE method proposed in this paper are compared with those obtained by other common deep learning methods. This paper provides an important insight into the field of gear fault diagnosis based on deep learning and has a potential practical application value.     

Far-UVC light as a new tool to reduce microbial burden during spacecraft assembly

This work aims to investigate far-UVC light at 222 nm as a new microbial reduction tool for planetary protection purposes which could potentially be integrated into the spacecraft assembly process. The major advantage of far-UVC (222 nm) compared to traditional germicidal UVC (254 nm) is the potential for application throughout the spacecraft assembly process in the presence of humans without adverse health effects due to the limited penetration of far-UVC light into biological materials. Testing the efficacy of 222-nm light at inactivating hardy bacterial cells and spores isolated from spacecraft and associated surfaces is a necessary step to evaluate this technology. We assessed survival of Bacillus pumilus SAFR-032 and Acinetobacter radioresistens 50v1 exposed to 222-nm light on proxy spacecraft surfaces simulated by drying the bacteria on aluminum coupons. The survival fraction of both bacteria followed a single stage decay function up to 60 mJ/cm², revealing similar susceptibility of both species to 222-nm light, which was independent of the exposure rate. Irradiation with far-UVC light at 222 nm is an effective method to decontaminate the proxy spacecraft materials tested in this study.     

杆的纵向振动分析

杆的纵向振动是连续系统的内容，一个连续系统具有分布质量，分丰弹性，分布阻尼，杆的纵向振动可用波动方程来描述，是用空间与时间坐标来描述的，运动方程是偏微方程。     

微制造隔振试验平台定位系统的轨迹规划

为减小运动部件加减速过程中对整个平台的冲击,在进行运动轨迹规划时,采用了S形曲线对定位系统的运动轨迹进行了平滑处理,有效地降低了运动部件对系统的冲击,有利于系统的减振。     

一万氧压机轴振动控制分析与实践

本文介绍了一种非常规的高速轴振动抑制方法，主要是用振源分析技术，通过确诊设备故障原因来分析影响轴振动的主要因素，调节机器的系统刚度，再通过理论计算修订安装参数，制定设备故障处理对策，在涟源钢铁集团有限公司一万氧压机组上的实践取得了相当满意的效果，很有推广价值。     

超声马达工作性能影响因素的研究

系统阐述在超声马达的设计、制作过程中的机构设计、制作工艺、驱动电源等方面的关键问题。重点讨论超声振子的粘接技术,振子参数优化设计的方法,以及驱动电源的匹配和频率自动跟踪设计,最终设计出高性能的超声马达。     

飞行器振动智能分析与诊断

本文通过综合多个领域知识，引进功能特征描述概念，运用证据理论，提出了对飞行器等复杂系统进行分析诊断的一个新方法并初步完成了专家系统原型，通过具体实例，再现了故障现象     

对转桨推进型鱼雷有动力影响研究

为使国内具备鱼雷有动力风洞试验能力 ,通过设备研制和对转桨推进型鱼雷性能研究试验表明 :一是动力对姿态导数影响达 40 % ,效率导数一般下降 1 0 %～ 1 5 % ,设计单位应重视上述特性对鱼雷航行与机动特性的影响 ;二是对转桨对雷体稳定性作用值得高度重视 ,传统认为对转桨是鱼雷辅助稳定装置的设计思想应有所调整 ,尤其对机动性要求高的鱼雷。     

超声振动体的耦合振动研究

对一些典型的大尺寸超声振动体如圆柱体、空心圆柱体、长条形六面体和大矩形六面体。本文用通用有限元软件对耦合系数的分布进行了分析，并在耦合振动频率方程的基础上研究了耦合系数与耦合振动的强度之间的关系。