基于FrFT优化窗的STFT及非线性调频信号瞬时频率估计

瞬时频率(IF)是描述非平稳调频信号最基本的参数,调频信号广泛应用于声纳、雷达、通讯和生物等领域。本文采用分数阶Fourier变换来优化STFT的窗函数,并估计非线性调频信号的瞬时频率。进行了详细的误差理论分析。同时在实验上和Wingner分布(WVD)、短时Fourier变换(STFT)进行误差(MSE)比较分析。仿真证明,FrFt优化窗STFT对估计非线性调频信号的瞬时频率具有良好的性能。     

建立中小企业诊断专家系统的构想

运用考试法、直接认定法、临时聘请法遴选专家，组建由政府、企业和民间协会共同组成的专家系统，对中小企业（宏观）发展与（微观）运行中的问题进行咨询和诊断，是我国中小企业快速、健康发展不可缺少的条件。作者对建立这一专家系统的有关问题，提出了自己的看法。     

指数或高斯分布信号的MSE量化器的简捷设计

在数字通信和数据压缩技术中，量化器是重要的组成部分，量化误差的大小影响通信质量和数据的有效压缩。文中基于等概率输出量化与量化误差均方值最小的关系，给出概率密度为指数型和高斯型的常见信号的ＭＳＥ量化器的一种简捷算法。     

航天器表面污染物质沉积变化和控制因子评估

航天器进入空间环境以后,空间环境分子污染和颗粒污染形成了航天器表面污染层,从而对航天器的各技术分系统产生不同的负面影响.介绍了中外中轨道航天器表面污染物质沉积变化在轨探测结果,并对污染物质沉积量变化和控制因子做初步评估.结果表明,污染物质沉积量在航天器入轨初期的1~2年内受航天器自身出气物质量、放气速率、表面温度及所处的气流方向等因子所控制.初期沉积量大,正是受到航天器入轨后自身出气量大、放气速率较高的控制,同时迎风面比背风面沉积量大.入轨后期表面沉积量长期变化呈现出明显的降变或缓慢涨落,而且具有全向性特征,因此探讨了具有全向性影响能力的控制因子相关特性,其中高能粒子通量和太阳紫外辐射通量变化可能是主要控制因子.      

A new remaining useful life estimation method for equipment subjected to intervention of imperfect maintenance activities

As the key part of Prognostics and Health Management (PHM), Remaining Useful Life (RUL) estimation has been extensively investigated in recent years. Current RUL estimation studies considering the intervention of imperfect maintenance activities usually assumed that maintenance activities have a single influence on the degradation level or degradation rate, but not on both. Aimed at this problem, this paper proposes a new degradation modeling and RUL estimation method taking the influence of imperfect maintenance activities on both the degradation level and the degradation rate into account. Toward this end, a stochastic degradation model considering imperfect maintenance activities is firstly constructed based on the diffusion process. Then, the Probability Density Function (PDF) of the RUL is derived by the convolution operator under the concept of First Hitting Time (FHT). To implement the proposed RUL estimation method, the Maximum Likelihood Estimation (MLE) is utilized to estimate the degradation related parameters based on the Condition Monitoring (CM) data, while the Bayesian method is utilized to estimate the maintenance related parameters based on the maintenance data. Finally, a numerical example and a practical case study are provided to demonstrate the superiority of the proposed method. The experimental results show that the proposed method could greatly improve the RUL estimation accuracy for the degrading equipment subjected to imperfect maintenance activities.     

线性模型的BL估计和BP估计

线性模型最小二乘方估计的改进大致有两条途径：利用验前信息，如贝叶斯估计，改变估计形式，如特征根估计，主成分估计，本文提出ＢＬ（贝叶斯加特征根）估计和ＢＰ（贝叶斯加主成分）估计，实现两类途径的综合，有实用和理论价值。