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。     

钛合金表面抗激光涂层损伤特性及热效应影响研究

实验研究了钛合金和高反射型陶瓷涂层材料抗连续型激光烧蚀的损伤及温度分布特性，并从热效应影响角度对比分析了二者在抗激光损伤效果方面的差异性。研究结果表明：相比于钛合金，高反射型陶瓷涂层材料能有效增强钛合金基底抗激光损伤的能力；在同等激光功率密度辐照下，陶瓷涂层材料能有效提升钛合金基底耐受激光辐照的时间长度。实验结果表明该陶瓷涂层材料的激光损伤阈值比钛合金高约5.8倍。实验发现陶瓷涂层温升速率高于钛合金，但由于陶瓷材料具有较高的反射特性，以及良好的热吸收和热传导特性，因此能使由激光辐照产生的热量在其表面较快地扩散，而降低向基底方向传导的程度，最终提升陶瓷涂层的抗激光损伤阈值。     

Multi-faults diagnosis of rolling bearings via adaptive customization of flexible analytical wavelet bases

Multi-faults detection is a challenge for rolling bearings due to the mode mixture and coupling of multiple fault features, as well as its easy burying in the complex, non-stationary structural vibrations and strong background noises. In this paper, a method based on the flexible analytical wavelet transform (FAWT) possessing fractional scaling and translation factors is proposed to identify multiple faults occurred in different components of rolling bearings. During the route of the proposed method, the proper FAWT bases are constructed via genetic optimization algorithm (GA) based on maximizing the spectral correlated kurtosis (SCK) which is firstly presented and proved to be efficient and effective in indicating interested fault mode. Via using the customized FAWT bases for each interested fault mode, the original vibration measurements are decomposed into fine frequency subbands, and the sensitive subband which enhances the signal-to-noise ratio (SNR) is selected to exhibit the fault signature on its envelope spectrum. The proposed method is tested via simulated signals, and applied to analyze the experimental vibration measurements from the running roller bearings subjected to outrace, inner-race and roller defects. The analysis results validate the effectiveness of the proposed method in identifying multi-faults occurred in different components of rolling bearings.     

Phase coherence of foreshock MHD waves: wavelet analysis

The earth's foreshock is a region where particularly large amplitude MHD waves are commonly observed. They exhibit various waveforms, suggesting that nonlinear interaction between the waves is in progress. In a previous paper (Hada et al., 2003) we have introduced a method to quantitatively evaluate the strength of phase coherence among the waves from a given time series data. Here we further develop our method by applying wavelet filtering technique. From the analysis it was found that, although the turbulence is consisted of waves with a wide range of plasma rest frame frequencies, only those frequencies lower than the ion gyrofrequency are responsible for generating the phase coherence. This revised version was published online in August 2006 with corrections to the Cover Date.     

基于小波变换的图像低通去噪

提出了一种利用小波变换的多分辨率特性对图像进行低通去噪的方法,系统的阐述了其基本原理和核心算法,并对加噪后的图像实现了低通去噪处理。     

门限自回归模型参数的局部正交设计寻优法

在采用点值图确定门限区间个数的基础上，对门自回归模型中门限值、滞后步长、各门限区间模型阶数，利用正交设计方法寻优，计算工作量锐减，却可得到精度较高的预报模型。     

子波变换在实验流体力学中的应用

介绍了子波分析的历史、基本知识以及在实验流体力学方面的应用。讨论了子波变换在客观辨识湍流边界层相干结构方面的应用。作者用子波变换的方法提出了确定湍流边界层相干结构挥发时间尺度的能量最大准则，提取了相干结构对应的速度信号波形。用于波变换研究了湍流边界层脉动速度信号的局部奇异性行为，发现相干结构发生处脉动速度信号的局部奇异性指数为负值。     

导弹发射装置的总体设计方法

Anew method in system design of ejecting devices of missiles is first presented.Some important points are dis-cussed,which guid the research and development of new ejecting devices of missileg,amd provid the foundation flr thw design of mew ejecting device is provided.The system design includes the distribution of techmology specifica-tion,3-D solid modeling of ejecting devices of missiles im-ported from abroad,the design of pmeumatic device sys-tem,the design of ejecting mechanism system,the predic-tion of reliability and the experimental analysis,etc.     

一种基于红外序列图像的弱小目标检测方法

针对天空背景下红外运动弱小目标的检测问题,提出一种结合小波变换和管道滤波的序列图像的检测算法。首先对红外序列图像采用小波变换,再采用全局门限法进行阈值分割提取出潜在目标,用形态开运算去除噪声点,以减少候选目标数目,最后再使用管道滤波的方法确定真实目标。实验结果表明,该方法能有效地检测运动红外弱小目标,显著提高红外弱小目标的检测概率,并易于硬件实现。     

构件裂纹缺陷的超声识别

将小波包多分辨率分析与能量谱相结合,提出了金属材料缺陷特征提取的方法(小波包子带能量比较法)及不同缺陷的识别方法(小波分形神经网络法)。选取最能反映缺陷特征的参数——"能量特征向量"作为特征参数,进行缺陷的特征提取。缺陷的识别方法将小波包分解后各子带系数的分形维数作为特征矢量,对其进行径向基神经网络训练,从而可很明显区分出有无裂纹以及不同裂纹信号。以航天发射塔架钢连接构件疲劳裂纹超声检测信号为例,使用所提出的特征提取和模式识别方法,结果表明是行之有效的新方法,为金属材料缺陷检测与识别开拓了新思路。