Search | Engineering

订阅投稿

首页工程期刊工程焦点工程成就工程前沿关于我们 English

资源类型

期刊论文 868

会议视频 17

年份

2023 44

2022 55

2021 54

2020 65

2019 60

2018 44

2017 38

2016 31

2015 51

2014 47

2013 35

2012 38

2011 43

2010 45

2009 39

2008 30

2007 35

2006 36

2005 18

2004 17

展开︾

关键词

能源 7

技术预见 5

有限元法 4

仿真 3

一阶分析法 2

上限法 2

产业成熟度 2

优化设计 2

参数估计 2

可靠性 2

多目标优化 2

悬索桥 2

数学模型 2

数据驱动方法 2

智能制造 2

最小二乘法 2

海上风电场 2

神经网络 2

粗糙集 2

展开︾

检索范围：

排序：展示方式：

Comparison of modeling methods for wind power prediction: a critical study

Rashmi P. SHETTY, A. SATHYABHAMA, P. Srinivasa PAI

《能源前沿（英文）》 2020年第14卷第2期页码 347-358 doi: 10.1007/s11708-018-0553-3

摘要： Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable models. In this work, six different models have been developed based on wind power equation, concept of power curve, response surface methodology (RSM) and artificial neural network (ANN), and the results have been compared. To develop the models based on the concept of power curve, the manufacturer’s power curve, and to develop RSM as well as ANN models, the data collected from supervisory control and data acquisition (SCADA) of a 1.5 MW turbine have been used. In addition to wind speed, the air density, blade pitch angle, rotor speed and wind direction have been considered as input variables for RSM and ANN models. Proper selection of input variables and capability of ANN to map input-output relationships have resulted in an accurate model for wind power prediction in comparison to other methods.

关键词： power curve method of least squares cubic spline interpolation response surface methodology artificial neural network (ANN)

HTML PDF 收藏

electroencephalogram signals using spatial constraint independent component analysis based recursive leastsquares in brain-computer interface

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

《信息与电子工程前沿（英文）》 2015年第16卷第6期页码 486-496 doi: 10.1631/FITEE.1400299

摘要： Ocular artifacts cause the main interfering signals within electroencephalogram (EEG) signal measurements. An adaptive filter based on reference signals from an electrooculogram (EOG) can reduce ocular interference, but collecting EOG signals during a long-term EEG recording is inconvenient and uncomfortable for the subject. To remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraint independent component analysis based recursive least squares (SCICA-RLS) is proposed. The method consists of two stages. In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels into an equal number of independent components (ICs). Ocular ICs are identified by an automatic artifact detection method based on kurtosis. Then empirical mode decomposition (EMD) is employed to remove any cerebral activity from the identified ocular ICs to obtain exact artifact ICs. In the second stage, first, SCICA applies exact artifact ICs obtained in the first stage as a constraint to extract artifact ICs from the given EEG signal. These extracted ICs are called spatial constraint ICs (SC-ICs). Then the RLS based adaptive filter uses SC-ICs as reference signals to reduce interference, which avoids the need for parallel EOG recordings. In addition, the proposed method has the ability of fast computation as it is not necessary for SCICA to identify all ICs like ICA. Based on the EEG data recorded from seven subjects, the new approach can lead to average classification accuracies of 3.3% and 12.6% higher than those of the standard ICA and raw EEG, respectively. In addition, the proposed method has 83.5% and 83.8% reduction in time-consumption compared with the standard ICA and ICA-RLS, respectively, which demonstrates a better and faster OA reduction.

关键词： Ocular artifacts Electroencephalogram (EEG) Electrooculogram (EOG) Brain-computer interface (BCI) Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)

HTML PDF 收藏

Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

《机械工程前沿（英文）》 2019年第14卷第4期页码 412-421 doi: 10.1007/s11465-019-0551-0

摘要： A timing decision-making method for predecisional remanufacturing is presented. The method can effectively solve the uncertainty problem of remanufacturing blanks. From the perspective of reliability, this study analyzes the timing decision-making interval for predecisional remanufacturing of mechanical products during the service period and constructs an optimal timing model based on energy consumption and cost. The mapping relationships between time and energy consumption are predicted by using the characteristic values of performance degradation of products combined with the least squares support vector regression algorithm. Application of game theory reveals that when the energy consumption and cost are comprehensively optimal, this moment is the best time for predecisional remanufacturing. Used engine blades are utilized as an example to demonstrate the validity and effectiveness of the proposed method.

关键词： predecisional remanufacturing reliability least squares support vector regression (LS-SVR) game theory

HTML PDF 收藏

系统误差条件下基于AOA/TOA/FOA的多目标结构总体最小二乘算法 None

Xin CHEN, Ding WANG, Rui-rui LIU, Jie-xin YIN, Ying WU

《信息与电子工程前沿（英文）》 2018年第19卷第7期页码 917-936 doi: 10.1631/FITEE.1700735

摘要：单站无源定位系统避免了多个观测站之间复杂的时间同步和信息交换，在电子战中越来越重要。基于单个运动站定位系统，考虑到来自不同目标的观测具有相同的观测站位置及速度误差，提出一种具有高定位精度和数值稳定性的定位方法。根据到达角（AOA）、到达时间（TOA）和到达频率（FOA）等观测量，推导出相应的伪线性方程。在此基础上，提出一种结构总体最小二乘（STLS）优化模型，并利用逆迭代算法获得固定目标的位置。推导了所提算法的定位性能，并通过一阶误差分析证明了STLS算法的理论性能和约束总体最小二乘算法的理论性能一致，两者都能够达到克拉美罗界精度。仿真结果表明了理论推导的正确性和所提算法的优越性。

关键词：单站；结构总体最小二乘；逆迭代；到达角（AOA）；到达时间（TOA）；到达频率（FOA）；多源

HTML PDF 收藏

基于子空间的离散时滞系统辨识 Article

Qiang LIU,Jia-chen MA

《信息与电子工程前沿（英文）》 2016年第17卷第6期页码 566-575 doi: 10.1631/FITEE.1500358

摘要：本文研究了具有未知时延的线性随机时滞系统的辨识问题。时滞系统被表达为具有单一时延的时滞差分方程。首先利用状态增广方法将时滞系统转化为一个等价的线性时不变系统，然后采用传统的子空间辨识方法来估计增广系统矩阵。本文提出了一种ACS算法，从而得到时滞系统的状态空间模型。最后，基于ACS算法得到的相似变换，重新得到卡尔曼状态序列。采用最小二乘法，利用卡尔曼状态序列和输入输出数据，得出相同状态空间下的时滞系统矩阵。仿真结果表明了这种算法的有效性。

关键词：辨识问题；时滞系统；子空间辨识方法；ACS算法；最小二乘法

HTML PDF 收藏

HVAC系统的模糊预测函数控制器设计

吕红丽,贾磊,王雷,高瑞

《中国工程科学》 2006年第8卷第9期页码 65-68

摘要：

针对暖通空调HVAC系统中由于存在高度非线性、时变特征以及扰动和不确定性等因素而难以控制的特点，提出基于Takagi-Sugeno(T-S)模糊模型的预测函数控制器设计方法。该方法通过最小二乘辨识算法建立系统的模糊T-S模型，然后基于模糊全局线性化预测模型，采用预测函数控制算法设计系统控制律。仿真实验结果表明该算法是一种跟踪性能好、鲁棒性强的有效控制方法。与常规的PID控制器相比，该方法具有超调量小、调整时间短等优良的动态性能。

关键词： T-S模糊模型预测函数控制最小二乘算法 HVAC系统

HTML PDF 收藏

New decentralized control technique based on substructure and LQG approaches

Ying LEI, Ying LIN,

《机械工程前沿（英文）》 2009年第4卷第4期页码 386-392 doi: 10.1007/s11465-009-0041-x

摘要： Decentralized control is more suitable for structural control of large-scale structures. In this paper, a new decentralized control technique is proposed based on the linear quadratic Gaussian (LQG) and substructure approaches. A large-scale structure is divided into a set of smaller substructures. Each substructure is controlled by its own local controller with interaction forces at substructural interfaces, which are considered as “unknown external inputs” to the substructure concerned. An algorithm of recursive least squares estimation for the unknown excitation is proposed. A numerical example of the decentralized control of a tall building is studied to illustrate the new proposed algorithm. Simulation results show that the proposed decentralized control provides satisfactory control performance when comparing with the conventional centralized LQG control algorithm and is viable for the future structural control of large-scale structures.

关键词： substructures decentralized control linear quadratic Gaussian (LQG) Kalman filter unknown input least-squares estimation

HTML PDF 收藏

Impacts of building information modeling (BIM) implementation on design and construction performance: a resource dependence theory perspective

Dongping CAO, Heng LI, Guangbin WANG

《工程管理前沿（英文）》 2017年第4卷第1期页码 20-34 doi: 10.15302/J-FEM-2017010

摘要： Drawing on resource dependence theory, this paper develops and empirically tests a model for understanding how the implementation of building information modeling (BIM) in construction projects impacts the performance of different project participating organizations through improving their interorganizational collaboration capabilities. Based on two sets of survey data collected from designers and general contractors in BIM-based construction projects in China, the results from partial least squares analysis and bootstrapping mediation test provide clear evidence that BIM-enabled capabilities of information sharing and collaborative decision-making as a whole play a significant role in determining BIM-enabled efficiency and effectiveness benefits for both designers and general contractors. The results further reveal that designers and general contractors benefit from project BIM implementation activities significantly non-equivalently, and that this non-equivalence closely relates to the different roles played by designers and general contractors in BIM-enabled interorganizational resource exchange processes. The findings validate the resource dependence theory perspective of BIM as a boundary spanning tool to manage interorganizational resource dependence in construction projects, and contribute to deepened understandings of how and why project participating organizations benefit differently from the implementation of interorganizational information technologies like BIM.

关键词： building information modeling interorganizational collaboration construction project performance resource dependence theory partial least squares modeling

HTML PDF 收藏

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

HTML PDF 收藏

Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

《机械工程前沿（英文）》 2012年第7卷第1期页码 47-54 doi: 10.1007/s11465-012-0307-6

摘要：

Research of thermal characteristics has been a key issue in the development of high-speed feed system. The thermal positioning error of a ball-screw is one of the most important objects to consider for high-accuracy and high-speed machine tools. The research work undertaken herein ultimately aims at the development of a comprehensive thermal error identification model with high accuracy and robust. Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the feed system is identified with the variance and mean square value of the temperatures of supporting bearings and screw-nut as feature vector. A series of experiments were carried out on a self-made quasi high-speed feed system experimental bench HUST-FS-001 to verify the identification capacity of the presented method. The results show that the recommended model can be used to predict the thermal error of a feed system with good accuracy, which is better than the ordinary BP and RBF neural network. The work described in this paper lays a solid foundation of thermal error prediction and compensation in a feed system.

关键词： least squares support vector machine (LS-SVM) feed system thermal error precision machining

HTML PDF 收藏

基于边界分析的森林冠层半球图像中心点定位与分割 Article

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

《信息与电子工程前沿（英文）》 2016年第17卷第8期页码 741-749 doi: 10.1631/FITEE.1601169

摘要：分析森林半球图像是测定森林冠层结构参数的重要方法之一。本文主要研究半球图像中圆形区域的分割方法，这是分析半球图像的基础。通过直方图、矩形度和傅里叶描述子进行森林半球图像边界的分析，得到边界特性如下：(1)边缘模型包含三种，分别是台阶、斜坡和屋顶边缘模型；(2)边界点离散；(3)边缘存在线性分布离散点。在此基础上我们提出了森林半球图像圆形区域的分割方法，拟合圆形边界线，同时用最小二乘法计算圆心点坐标及半径。该方法与获取图像的硬件设备参数无关，因此为引入参数自动调整的高性能设备获取森林半球图像奠定了基础。

关键词：鱼眼镜头；最小二乘法；图像分割；生态学图像处理；半球图像

HTML PDF 收藏

Estimation of photolysis half-lives of dyes in a continuous-flow system with the aid of quantitative structure-property relationship

Davoud BEIKNEJAD,Mohammad Javad CHAICHI

《环境科学与工程前沿（英文）》 2014年第8卷第5期页码 683-692 doi: 10.1007/s11783-014-0680-y

摘要： In this paper the photolysis half-lives of the model dyes in water solutions and under ultraviolet (UV) radiation were determined by using a continuous-flow spectrophotometric method. A quantitative structure-property relationship (QSPR) study was carried out using 21 descriptors based on different chemometric tools including stepwise multiple linear regression (MLR) and partial least squares (PLS) for the prediction of the photolysis half-life ( ) of dyes. For the selection of test set compounds, a K-means clustering technique was used to classify the entire data set, so that all clusters were properly represented in both training and test sets. The QSPR results obtained with these models show that in MLR-derived model, photolysis half-lives of dyes depended strongly on energy of the highest occupied molecular orbital ( ), largest electron density of an atom in the molecule ( ) and lipophilicity (log ). While in the model derived from PLS, besides aforementioned and descriptors, the molecular surface area ( ), molecular weight ( ), electronegativity ( ), energy of the second highest occupied molecular orbital ( ) and dipole moment ( ) had dominant effects on logt values of dyes. These were applicable for all classes of studied dyes (including monoazo, disazo, oxazine, sulfonephthaleins and derivatives of fluorescein). The results were also assessed for their consistency with findings from other similar studies.

关键词： dye photolysis half-life quantitative structure-property relationship continuous-flow stepwise multiple linear regression partial least squares

HTML PDF 收藏

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

HTML PDF 收藏

基于PSO优化LS-SVM算法的水电站厂房结构振动响应预测

练继建,何龙军,王海军

《中国工程科学》 2011年第13卷第12期页码 45-50

摘要：

依据二滩水电站地下厂房和机组的原型观测数据对机组和厂房结构振动的相关性进行分析，据此建立基于粒子群优化最小二乘支持向量计算法的厂房振动响应预测模型，预测结果与实测资料吻合。在此基础上将运行水头作为输入因子引入到智能预测模型中，扩大了该智能预测模型的适用范围，取得了很好的效果。

关键词：水电站厂房耦联振动粒子群优化算法最小二乘支持向量机响应预测

HTML PDF 收藏

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

《信息与电子工程前沿（英文）》 2015年第16卷第6期页码 474-485 doi: 10.1631/FITEE.1400295

摘要： Accurate blood pressure (BP) measurement is essential in epidemiological studies, screening programmes, and research studies as well as in clinical practice for the early detection and prevention of high BP-related risks such as coronary heart disease, stroke, and kidney failure. Posture of the participant plays a vital role in accurate measurement of BP. Guidelines on measurement of BP contain recommendations on the position of the back of the participants by advising that they should sit with supported back to avoid spuriously high readings. In this work, principal component analysis (PCA) is fused with forward stepwise regression (SWR), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the least squares support vector machine (LS-SVM) model for the prediction of BP reactivity to an unsupported back in normotensive and hypertensive participants. PCA is used to remove multi-collinearity among anthropometric predictor variables and to select a subset of components, termed ‘principal components’ (PCs), from the original dataset. The selected PCs are fed into the proposed models for modeling and testing. The evaluation of the performance of the constructed models, using appropriate statistical indices, shows clearly that a PCA-based LS-SVM (PCA-LS-SVM) model is a promising approach for the prediction of BP reactivity in comparison to others. This assessment demonstrates the importance and advantages posed by hybrid models for the prediction of variables in biomedical research studies.

关键词： Blood pressure (BP) Principal component analysis (PCA) Forward stepwise regression Artificial neural network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Least squares support vector machine (LS-SVM)