Weighted preliminary-summation-based principal component analysis for non-Gaussian processes

For industrial chemical process, preliminary-summation-based principal component analysis (PS-PCA), an amended PCA method was recently provided for coping with both Gaussian and non-Gaussian characteristics. By summing the training and monitoring data respectively, PS-PCA is capable of resolving the issue of non-Gaussian processes and achieves higher fault detection rate than the traditional PCA. However, in the PS-PCA summation operation, all data samples are regarded as the same weight, which results in the fault information of newly-samples may be diluted, leading to significant detection delays. To address this challenge, in this paper, we propose a novel weighted PS-PCA (WPS-PCA) method that employs an exponential weighting scheme to put more emphasis on recent information. Subsequently, a mathematical argument demonstrates that when the number of variables is enough plentiful, the obtained summation combined with the generalized central limit theorem conforms to approximately a Gaussian distribution. The kurtosis relationships indicate this conversion will bring out well-pleasing feasibility for conventional PCA. Ultimately, the proposed technique verifies detection performance using the Tennessee Eastman process, which is compared with the existing PCA and PS-PCA schemes, in terms of the fault detection time and fault detection rate. The simulation studies reveal that the proposed method is efficient and superior.     

Methods for constructing analytic phase function for small spherical particle polydispersions

Two ways of constructing analytic phase function for a polydispersion of small spherical non-absorbing particles have been investigated. First one is a straightforward procedure emanating from the implementation of single particle scattering input into the defined polydisperse phase function. This results in an analytic phase function in terms of moments of the distribution. The second approach is a new strategy, based on the Lagrange mean value theorem. A clear understanding of the relationship between these two approaches has been developed. The efficacy and accuracy of the scattering phase functions is illustrated by applying it to a power-law size distributed sphere ensemble.     

基于多尺度结构特征的快速异源图像匹配

针对异源图像提出一种基于多尺度密集结构特征的快速匹配算法。算法首先利用Gabor滤波器逐像素提取图像中的结构响应,再根据主方向响应对多尺度结构特征融合,然后使用快速傅里叶变换在频域计算各特征分量图像之间的卷积,最后将卷积生成的系数矩阵求和计算出图像之间的相似性并选择相似性最大位置作为匹配结果输出。本文算法能有效适应异源图像间的非线性灰度变化和噪声干扰问题。测试使用可见光、红外、雷达图像组成的异源图像数据集对本文算法和现有算法进行测试比较,结果表明:本文算法的平均误匹配率最低,并且计算速度有明显优势。     

Levelized cost of energy definition – An economic paradox

Using mean value theorem for integrals we show that the well-known LCOE definition is incorrect.     

一类分数阶微积分的中值定理及应用

Riemann-Liouville分数阶微积分算子是一类带有一个函数的分数阶微积分算子的特殊情形，以Riemann-Liouville分数阶微积分算子的积分中值定理和微分中值定理为基础，我们得到了一类带有一个函数的分数阶微积分算子的积分中值定理和微分中值定理，并给出其在计算方面的一些应用。     

黑体辐射逆问题方程解的唯一性与Riemann假设

黑体辐射反演是黑体辐射研究中提出的新课题.在实际应用中,许多物体的表面温度分布(a(T)),难以直接测量,但其温度辐射功率谱W(v)可以被测量,此文给出一个由功率谱W(v)获得表面温度分布a(T)的严格解并讨论其解的唯一性.     

珠江三角洲地区竖向排水体施工扰动初探

竖向排水体施工具有挤土效应，按照平面应力问题，应用圆柱孔扩张理论分析表明，竖向排水体周围土体孔隙水压力显著增大，应力变化明显，形成瓶状塑性区。地面以下一定深度Zo范围内，塑性区半径取决于土体初始应力和不排水强度，并随深度增大；Zo以下，塑性区半径不再变化，其大小与土体初始应力、不排水强度，割线模量、排水体类型、间距、长度、导管类型等有关。施工扰动以塑性区为主，塑性区地面发生隆起，珠江三角洲地区，在饱和软粘土基中施工竖向排水体时，实测表明土体强度显著降低，最终沉降增大。计算表明扰动区半径可取塑性区半径的1.2倍，扰动区半径约为竖向排水体导管半径的9倍。     

岩质边坡稳定塑性极限分析方法——斜分条法

基于塑性极限分析上限定理,依据岩质边坡沿某一滑裂面滑动破坏时,在其内部产生沿陡倾角结构面(断层、节理和层面)的剪切破坏现象,建立了岩质边坡极限分析斜分条法破坏模式。进一步根据滑体处于极限状态时的虚功率方程,推导得出了斜分条后岩质边坡的塑性极限分析稳定系数计算公式。采用超载系数的方法,将稳定系数表示在块体所受的极限荷载,避免了隐式出现,有效地简化了公式推导。以锦屏一级水电站右岸边坡为例进行了稳定性分析。计算表明,结论较为合理,对于具有倾斜界面的岩质边坡稳定性评价具有重要意义。