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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

《机械工程前沿（英文）》 2010年第5卷第2期页码 176-183 doi: 10.1007/s11465-010-0001-5

摘要： The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensing actuator is introduced. A bridge analysis model based on variable inductance is established. Dynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the least means square (LMS) self-adapting algorithm. The scheme design of one important part of the circuit with the real-time separation circuit of the dynamic balance signal based on a digital signal processor is obtained. The part of the signal separated circuit is designed, which includes logarithmic-antilog practical multiplication circuit, amplifying circuit, filter circuits, and amplifier circuit. Based on the embedded system simulation software—PROTUES, the simulation effect of the circuit that separates the sensing signal from the mixed signals is obvious, which indicates that the circuit can rapidly and stably work. Moreover, the structure is simple, reliable, and meets the practical requirement.

关键词： giant magnetostrictive material (GMM) self-sensing actuator least means square (LMS) self-adapting algorithm design of self-adaptive circuit

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一般四元数函数梯度的定义、特性及在信号处理领域的应用

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

《信息与电子工程前沿（英文）》 2016年第17卷第2期页码 83-95 doi: 10.1631/FITEE.1500334

摘要：基于以上研究，本文对四元数值的最小均方(LMS)自适应算法，以及一个有代表性的非线性自适应算法进行了推导，并以矢量传感器阵列波束形成为例进行了计算机模拟。

关键词：四元数；梯度；信号处理；最小均方算法；非线性自适应滤波；波束形成

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

《能源前沿（英文）》 2016年第10卷第1期页码 105-113 doi: 10.1007/s11708-016-0393-y

摘要： This paper proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted least square (WLS) technique in the restructured electricity markets. Price forecasting is very important for online trading, e-commerce and power system operation. Forecasting the hourly locational marginal prices (LMP) in the electricity markets is a very important basis for the decision making in order to maximize the profits/benefits. The novel approach proposed in this paper for forecasting the electricity prices uses WLS technique and compares the results with the results obtained by using ANNs. To perform this price forecasting, the market knowledge is utilized to optimize the selection of input data for the electricity price forecasting tool. In this paper, price forecasting for Pennsylvania-New Jersey-Maryland (PJM) interconnection is demonstrated using the ANNs and the proposed WLS technique. The data used for this price forecasting is obtained from the PJM website. The forecasting results obtained by both methods are compared, which shows the effectiveness of the proposed forecasting approach. From the simulation results, it can be observed that the accuracy of prediction has increased in both seasons using the proposed WLS technique. Another important advantage of the proposed WLS technique is that it is not an iterative method.

关键词： day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving entities

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最小二乘支持向量机的扩展及其在时间序列预测中的应用

向小东

《中国工程科学》 2008年第10卷第11期页码 89-92

摘要：

根据时间序列近期数据较远期数据包含有更多未来信息的思想，对最小二乘支持向量机预测方法进行了扩展，得到了更具一般性的最小二乘支持向量机预测模型，给出了扩展后的预测模型具体算法。两个时间序列的预测实例表明，扩展后的预测方法获得了更好的预测效果，提升了最小二乘支持向量机预测方法的价值。

关键词：最小二乘支持向量机扩展时间序列预测

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用考虑置信区间长度影响的最小二乘法拟合S-N曲线

杨晓华,金平,姚卫星

《中国工程科学》 2004年第6卷第4期页码 41-43

摘要：

S-N曲线是用名义应力法预测结构疲劳寿命的基础。基于试验疲劳寿命分散的物理机制，提出了一个S-N曲线试验数据处理的加权最小二乘法，此方法中每组数据的权重与该组数据的置信区间成反比。计算结果表明用考虑置信区间长度影响的最小二乘法拟合得到的S-N曲线比用一般最小二乘法得到的S-N曲线具有更高的可靠度，给出的寿命预测结果也更安全。

关键词：置信区间疲劳寿命最小二乘法 S-N曲线

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基于层次的K-means初始化算法

汤九斌,陆建峰,唐振民,杨静宇

《中国工程科学》 2007年第9卷第11期页码 74-79

摘要：

K-means算法是一种常用的聚类算法，但是聚类中心的初始化是其中的一个难点。笔者提出了一个基于层次思想的初始化方法。模拟数据和真实数据的实验结果均显示基于层次抽样初始化的K-means算法不仅收敛速度快、聚类质量高，而且对噪声不敏感，其性能明显优于现有的相关算法。

关键词：层次技术初始聚类中心加权数据 K平均聚类

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LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

《结构与土木工程前沿（英文）》 2022年第16卷第7期页码 871-881 doi: 10.1007/s11709-022-0863-8

摘要： The failure criteria of practical soil mass are very complex, and have significant influence on the safety factor of slope stability. The Coulomb strength criterion and the power-law failure criterion are classically simplified. Each one has limited applicability owing to the noticeable difference between calculated predictions and actual results in some cases. In the work reported here, an analysis method based on the least square support vector machine (LSSVM), a machine learning model, is purposefully provided to establish a complex nonlinear failure criterion via iteration computation based on strength test data of the soil, which is of more extensive applicability to many problems of slope stability. In particular, three evaluation indexes including coefficient of determination, mean absolute percentage error, and mean square error indicate that fitting precision of the machine learning-based failure criterion is better than those of the linear Coulomb criterion and nonlinear power-law criterion. Based on the proposed LSSVM approach to determine the failure criterion, the limit equilibrium method can be used to calculate the safety factor of three-dimensional slope stability. Analysis of results of the safety factor of two three-dimensional homogeneous slopes shows that the maximum relative errors between the proposed approach and the linear failure criterion-based method and the power-law failure criterion-based method are about 12% and 7%, respectively.

关键词： slope stability safety factor failure criterion least square support vector machine

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Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

《机械工程前沿（英文）》 2016年第11卷第3期页码 311-315 doi: 10.1007/s11465-016-0376-z

摘要：

The identification of targets varies in different surge tests. A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm (k-NN) for equipment under test status identification was proposed after using feature matching to identify equipment status had to train new patterns every time before testing. First, color space (L*a*b*, hue saturation lightness (HSL), hue saturation value (HSV)) to segment was selected according to the high luminance points ratio and white luminance points ratio of the image. Second, the unknown class sample S_r was classified by the k-NN algorithm with training set T_z according to the feature vector, which was formed from number of pixels, eccentricity ratio, compactness ratio, and Euler’s numbers. Last, while the classification confidence coefficient equaled k, made S_r as one sample of pre-training set T_z′. The training set T_z increased to T_z₊₁ by T_z′ if T_z′ was saturated. In nine series of illuminant, indicator light, screen, and disturbances samples (a total of 21600 frames), the algorithm had a 98.65% identification accuracy, also selected five groups of samples to enlarge the training set from T₀ to T₅ by itself.

关键词： multi-color space k-nearest neighbor algorithm (k-NN) self-learning surge test

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基于最小二乘法的EAST托卡马克光学等离子体边缘重建 None

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

《信息与电子工程前沿（英文）》 2018年第19卷第9期页码 1124-1134 doi: 10.1631/FITEE.1700041

摘要：重建等离子体位形是托卡马克装置中一个非常重要的课题。平衡与反演编码（equilibrium and fitting, EFIT）是部分托卡马克中常用的等离子体边缘重建方法。然而，这种磁方法有一些不可避免的缺点。提出一种光学等离子体边缘重建算法，将EFIT编码结果作为标准值学习光学重建模型。在边缘提取方面，传统边缘检测方法不能提取较清晰的等离子体边缘。因此，提出一种基于全局对比度的方法在图像平面提取等离子体边缘。这种方法对光照有很好的鲁棒性。用一个同阶多项式和一个转换矩阵拟合提取等离子体边缘和EFIT重建等离子体边缘。为在没有相机标定的前提下获取转换矩阵，用最小二乘法最小化光学边缘和EFIT重建边缘误差，得到一个数学模型，该数学模型将提取的等离子体边缘从一个图像平面转换到托卡马克极向平面。一旦获得这个转换矩阵，便可在捕获的任意图像重建光学等离子体边缘。展示了所提方法和EFIT之间的误差，并讨论不同多项式阶数的实验结果。

关键词：光学等离子体重建；边缘检测；全局对比度；最小二乘法；EAST托卡马克

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南水北调中线工程渠道糙率的系统辨识

杨开林,汪易森

《中国工程科学》 2012年第14卷第11期页码 17-23

摘要：

提出了分析调水工程渠道沿程糙率的系统辨识新方法。依据水力学原理，建立了渠道沿程糙率与粗糙高度ks和水力半径R的函数关系，然后通过数学变换提出了适合最小二乘法进行系统辨识的线性模型。并以南水北调中线工程原型观测资料为基础，考虑渠道断面形状、底坡、渠长变化的影响，应用系统辨识的方法消除水力测量随机误差的干扰,得到了通用的渠道沿程糙率计算公式。

关键词：渠道糙率系统辨识最小二乘法

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深度IA双向智能 Personal View

Lei XU

《信息与电子工程前沿（英文）》 2020年第21卷第4期页码 558-562 doi: 10.1631/FITEE.1900541

摘要：概述了一个深度双向智能框架。由底向上方向有两个行为，一是获取信息形成适当的模式表示，二是抽象—自组织认知，简记为“A-S认知”，将输入模式抽象为概念，由一个标签表示，并通过自组织学习以理解模式构成的层次表示。而顶层内域中的行为统称为“A-I思维”，包含积累、融合、归纳、和灵感等。由顶向下方向也有两个行为，一个简称“I-S推理”，进行推理和综合，执行各种形象思维和问题求解任务，另一个是与环境交互，执行控制、通讯和检验的任务。在这个双向智能框架基础上，探讨了进行综合推理的可能性。

关键词：抽象；最小均方误差重建自组织学习（Lmser）；认知；形象思维；抽象思维；综合推理

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Technological lubricating means: Evolution of materials and ideas

Vladimir A. GODLEVSKIY

《机械工程前沿（英文）》 2016年第11卷第1期页码 101-107 doi: 10.1007/s11465-016-0369-y

摘要：

The main stages of technological lubricating material development from ancient times to date are described. How the chemical composition of these products changed with time, how new ideas revealing the physical and chemical basics of external media that influence the mechanical processing of materials appeared, how these ideas explained the differences between traditional tribology and specific technology of metal processing are discussed. The question of the possible realization of Rehbinder’s adsorption effect in contact zone is also stated. The description of a very captivating problem is related to the explanation of the mechanism of lubricant penetration into the contact zone between the material being processed and the tool. The birth and development of the hypothesis of microcapillary penetration of the lubricant into the dynamically changed intersurface clearance that has finally led to formulating the “necessary kinetic condition of the lubricating activity” is relayed.

关键词： technological lubrication and cooling metal cutting grinding lubrication action tribology

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一种工业过程时变参数估计新算法——修正目标函数法

张承慧

《中国工程科学》 2001年第3卷第11期页码 54-59

摘要：

针对某些工业过程控制参数高度时变的特点和LS拟合算法存在病态估计的现象，提出了一类基于修正目标函数的时变参数估计算法，并给出递推辅助变量算法。此类算法不仅具有较强的实时跟踪能力和较高的估计精度，而且能克服病态估计，摆脱了伪随机信号在工程中带来的麻烦。新算法没有增加计算量，非常适合于工程应用，仿真及实际应用结果都证明新算法是有效的。文中给出了有关新算法的定理及其证明。

关键词：参数估计计算方法 LS算法时变系统工业生产

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基于LMS自适应时延估计法的微地形测距系统研究

刘爱军,周知进,卜英勇,龙迎春

《中国工程科学》 2009年第11卷第8期页码 79-82

摘要：

根据单波束超声波测距原理，向模拟海底钴结壳微地形的水池表面发射超声波，应用自适应滤波方法可以估计超声回波信号的时延，使最小均方误差（LMS

关键词：海底钴结壳微地形测距 LMS 单波束测距自适应滤波法

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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

《机械工程前沿（英文）》 2008年第3卷第3期页码 283-287 doi: 10.1007/s11465-008-0044-z

摘要： By analyzing the operation characteristics of two subtasks that have resource dependency on each other, this paper demonstrates the impact of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizing principle called balance principle that keeps the individual profit between robots equal. Furthermore, an algorithm is designed for adjusting subtask selection on the basis of this principle. Simulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system.

关键词： algorithm self-organizing principle validity Simulation allocation