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 1531

年份

2024 1

2023 59

2022 101

2021 100

2020 74

2019 104

2018 88

2017 86

2016 67

2015 85

2014 84

2013 67

2012 79

2011 71

2010 73

2009 49

2008 73

2007 85

2006 36

2005 24

展开︾

关键词

风险分析 9

分析 4

可持续发展 4

对策 4

影响因素 4

数值模拟 4

隧道 4

ANSYS 3

数值分析 3

裂缝 3

2035年 2

BNLAS 2

COVID-19 2

DX桩 2

HIV感染孕产妇 2

“一带一路” 2

专利分析 2

仿真 2

制造业 2

展开︾

检索范围：

排序：展示方式：

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

《机械工程前沿（英文）》 2012年第7卷第4期页码 445-452 doi: 10.1007/s11465-012-0338-z

摘要：

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.

关键词： high-speed milling grey relational analysis principal component analysis parameters optimization

HTML PDF 收藏

removal of ocular artifacts from electroencephalogram signals using spatial constraint independent componentanalysis based recursive least squares 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

Feasibility analysis of modified AL-6XN steel for structure component application in supercritical water-cooled

Xinggang LI, Qingzhi YAN, Rong MA, Haoqiang WANG, Changchun GE

《能源前沿（英文）》 2009年第3卷第2期页码 193-197 doi: 10.1007/s11708-009-0030-0

摘要： Modified AL-6XN austenite steel was patterned after AL-6XN superaustenitic stainless steel by introducing microalloy elements such as zirconium and titanium in order to adapt to recrystallizing thermo-mechanical treatment and further improve crevice corrosion resistance. Modified AL-6XN exhibited comparable tensile strength, and superior plasticity and impact toughness to commercial AL-6XN steel. The effects of aging behavior on corrosion resistance and impact toughness were measured to evaluate the qualification of modified AL-6XN steel as an in-core component and cladding material in a supercritical water-cooled reactor. Attention should be paid to degradation in corrosion resistance and impact toughness after aging for 50 hours when modified AL-6XN steel is considered as one of the candidate materials for in-core components and cladding tubes in supercritical water-cooled reactors.

关键词： supercritical water cooled reactor tensile impact toughness corrosion aging

HTML PDF 收藏

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

《信息与电子工程前沿（英文）》 2016年第17卷第5期页码 403-412 doi: 10.1631/FITEE.1600028

摘要： Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remote sensing. When used for spectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionality of hyperspectral data is usually very large, NMF tends to suffer from large computational complexity for the popular multiplicative iteration rule; (2) NMF is sensitive to noise (outliers), and thus the corrupted data will make the results of NMF meaningless. Although principal component analysis (PCA) can be used to mitigate these two problems, the transformed data will contain negative numbers, hindering the direct use of the multiplicative iteration rule of NMF. In this paper, we analyze the impact of PCA on NMF, and find that multiplicative NMF can also be applicable to data after principal component transformation. Based on this conclusion, we present a method to perform NMF in the principal component space, named ‘principal component NMF’ (PCNMF). Experimental results show that PCNMF is both accurate and time-saving.

关键词： Non-negative matrix factorization (NMF) Principal component analysis (PCA) Endmember Hyperspectral

HTML PDF 收藏

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

《机械工程前沿（英文）》 2008年第3卷第2期页码 222-225 doi: 10.1007/s11465-008-0028-z

摘要： The magnetic leakage field distribution resulting from linear defects of a tube sample in the geomagnetic field is modeled according to the magnetic dipole theory. The formula to compute the normal component of the weak magnetic field is deduced based on the spatial distribution of the magnetic dipole. The shape and characteristics of the zero line (an important criterion for magnetic memory testing) of the normal field is analyzed under different longitudinal magnetizations. Results show that the characteristics of the zero line should be considered when the metal magnetic memory testing method is used to find and locate the defect.

关键词： geomagnetic theory important criterion magnetic leakage normal component

HTML PDF 收藏

An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

《机械工程前沿（英文）》 2019年第14卷第1期页码 76-84 doi: 10.1007/s11465-018-0522-x

摘要： Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

关键词： reliability component failure mode prediction random variable

HTML PDF 收藏

基于主成分分析法的秦巴山脉区域林业产业发展研究

郑东晖,后华,翟明普,渠美

《中国工程科学》 2020年第22卷第1期页码 120-126 doi: 10.15302/J-SSCAE-2020.01.013

摘要：

林业产业作为国民经济的重要基础性产业，在生态建设中的地位日益突出。本文系统梳理了秦巴山脉区域的林业产业发展现状，详细开展了区域林业产业的优势、劣势、机遇和威胁（SWOT）分析，以专家问卷调查作为数据来源，运用主成分分析方法，以统计分析的方式寻找出对秦巴山脉林业产业发展有较大影响的要素，以之作为区域林业产业发展战略制定的科学依据。研究表明，生态环境问题、集约化程度低、森林旅游业发展机遇、区位优势、资源优势等方面是秦巴山脉区域林业产业发展的主要影响因素；区域林业产业发展重在于生态建设，应利用区位和资源优势，做大做强特色产业，优化产业结构；同时大力发展以森林旅游为主的第三产业，保障区域林业产业的高质量发展。

关键词：秦巴山脉区域林业产业 SWOT分析主成分分析法生态环境

HTML PDF 收藏

Experimental and numerical analysis of beam to column joints in steel structures

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

《结构与土木工程前沿（英文）》 2018年第12卷第4期页码 642-661 doi: 10.1007/s11709-017-0457-z

摘要： The behaviors such as extreme non-elastic response, constant changes in roughness and resistance, as well as formability under extreme loads such as earthquakes are the primary challenges in the modeling of beam-to-column connections. In this research, two modeling methods including mechanical and neural network methods have been presented in order to model the complex hysteresis behavior of beam-to-column connections with flange plate. First, the component-based mechanical model will be introduced in which every source of transformation has been shown only with geometrical and material properties. This is followed by the investigation of a neural network method for direct extraction of information out of experimental data. For the validation of behavioral curves as well as training of the neural network, the experiments were carried out on samples with real dimensions of beam-to-column connections with flange plate in the laboratory. At the end, the combinational modeling framework is presented. The comparisons reveal that the combinational modeling is able to display the complex narrowed hysteresis behavior of the beam-to-column connections with flange plate. This model has also been successfully employed for the prediction of the behavior of a newly designed connection.

关键词： beam to column connections experiments component method neural network model combinational modeling

HTML PDF 收藏

AED-Net——异常事件检测网络 Article

王田, 苗子琛, 陈禹昕, 周毅, 单光存, Hichem Snoussi

《工程（英文）》 2019年第5卷第5期页码 930-939 doi: 10.1016/j.eng.2019.02.008

摘要：

长期以来，在拥挤场景中检测异常事件都是一项具有挑战性的任务。为解决这一问题，本文提出了一种名叫异常事件检测网络（AED-Net）的自监督框架，它由主成分分析网络（PCANet）和核主成分分析（kPCA）组成。该框架以不同场景的监控视频序列为原始数据，通过训练PCANet以提取人群情况的高级语义。kPCA可作为一种单类分类器，被用于识别场景中的异常事件。与目前流行的一些深度学习方法相比，该框架完全是自监督的，因为它只使用正常情况下的视频序列。通过对明尼苏达大学公共监测人类活动数据集（UMN数据集）和加州大学圣地亚哥分校监测异常数据集（UCSD数据集）进行全局和局部异常事件进行检测发现，与其他最先进的方法相比，该方法具有更好的等误差率（EER）和曲线下面积（AUC）。此外，通过增加局部响应归一化（LRN）层，我们对原有的AED-Net进行了改进。结果表明，该改进版在提高框架的泛化能力方面表现出更好的性能。

关键词：异常事件检测异常事件检测网络主成分分析网络核主成分分析

HTML PDF 收藏

Improved resilience measure for component recovery priority in power grids

《工程管理前沿（英文）》 2021年第8卷第4期页码 545-556 doi: 10.1007/s42524-021-0161-5

摘要： Given the complexity of power grids, the failure of any component may cause large-scale economic losses. Consequently, the quick recovery of power grids after disasters has become a new research direction. Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding importance measures are proposed. The recovery priority of failed components after a disaster is determined according to the influence of the failed components on the power grid resilience. Finally, based on the data from the 2019 Power Yearbook of each city in Shandong Province, China, the power grid resilience after a disaster is analyzed for two situations, namely, partial components failure and failure of all components. Result shows that the recovery priorities of components with different importance measures vary. The resilience evaluations under different repair conditions prove the feasibility of the proposed method.

关键词： resilience measure power grid importance measure component recovery

HTML PDF 收藏

Systematic review for geo-authentic Lonicerae Japonicae Flos

null

《医学前沿（英文）》 2017年第11卷第2期页码 203-213 doi: 10.1007/s11684-017-0504-0

摘要：

In traditional Chinese medicine, Lonicerae Japonicae Flos is commonly used as anti-inflammatory, antiviral, and antipyretic herbal medicine, and geo-authentic herbs are believed to present the highest quality among all samples from different regions. To discuss the current situation and trend of geo-authentic Lonicerae Japonicae Flos, we searched Chinese Biomedicine Literature Database, Chinese Journal Full-text Database, Chinese Scientific Journal Full-text Database, Cochrane Central Register of Controlled Trials, Wanfang, and PubMed. We investigated all studies up to November 2015 pertaining to quality assessment, discrimination, pharmacological effects, planting or processing, or ecological system of geo-authentic Lonicerae Japonicae Flos. Sixty-five studies mainly discussing about chemical fingerprint, component analysis, planting and processing, discrimination between varieties, ecological system, pharmacological effects, and safety were systematically reviewed. By analyzing these studies, we found that the key points of geo-authentic Lonicerae Japonicae Flos research were quality and application. Further studies should focus on improving the quality by selecting the more superior of all varieties and evaluating clinical effectiveness.

关键词： Lonicerae Japonicae Flos geo-authentic herbal quality chemical fingerprint component analysis

HTML PDF 收藏

Molecular level simulations on multi-component systems —a morphology prediction method

C. SCHMIDT, J. ULRICH

《化学科学与工程前沿（英文）》 2013年第7卷第1期页码 49-54 doi: 10.1007/s11705-013-1307-8

摘要： The crystal morphology grown from a solution composed of an organic solvent, solute and additive can be predicted reliably by a computational method. Modeling the supersaturated solution as liquid phase is achieved by employing commercial software. The molecular composition of this solution is a required input parameter. The face specific diffusion coefficient of the solid (crystal surface) and liquid (solution) system is determined using the molecular dynamics procedure. The obtained diffusion coefficient is related to the specific face growth rate via the attachment energy of the pure morphology. The significant improvements are achieved in the morphology prediction because the investigation on the face growth rates in a complex growth environment (as multi-component solutions with additives) can be carried out based on the diffusion coefficients.

关键词： crystallization morphology molecular dynamics solution

HTML PDF 收藏

Robust optimization of the billet for isothermal local loading transitional region of a Ti-alloy rib-web component

Ke WEI, Xiaoguang FAN, Mei ZHAN, Miao MENG

《机械工程前沿（英文）》 2018年第13卷第3期页码 376-384 doi: 10.1007/s11465-018-0500-3

摘要：

Billet optimization can greatly improve the forming quality of the transitional region in the isothermal local loading forming (ILLF) of large-scale Ti-alloy rib-web components. However, the final quality of the transitional region may be deteriorated by uncontrollable factors, such as the manufacturing tolerance of the preforming billet, fluctuation of the stroke length, and friction factor. Thus, a dual-response surface method (RSM)-based robust optimization of the billet was proposed to address the uncontrollable factors in transitional region of the ILLF. Given that the die underfilling and folding defect are two key factors that influence the forming quality of the transitional region, minimizing the mean and standard deviation of the die underfilling rate and avoiding folding defect were defined as the objective function and constraint condition in robust optimization. Then, the cross array design was constructed, a dual-RSM model was established for the mean and standard deviation of the die underfilling rate by considering the size parameters of the billet and uncontrollable factors. Subsequently, an optimum solution was derived to achieve the robust optimization of the billet. A case study on robust optimization was conducted. Good results were attained for improving the die filling and avoiding folding defect, suggesting that the robust optimization of the billet in the transitional region of the ILLF was efficient and reliable.

关键词： isothermal local loading forming rib-web component transitional region robust optimization dual response surface method

HTML PDF 收藏

Development of a multi-component drug from turmeric using central composite design

Xiaohang ZHANG,Shengnan HAN,Yan LI,Jianlan JIANG

《化学科学与工程前沿（英文）》 2014年第8卷第3期页码 362-368 doi: 10.1007/s11705-014-1439-5

摘要： A methodology to develop multi-component drugs based on traditional Chinese medicines has been developed using central composite design. Several active components from the traditional Chinese medicine turmeric were chosen for use in a multi-component antitumor drug. Response surface methodology based on a central composite design was applied to determine the quantitative composition-activity relationships in order to optimize the amount of each component in the drug. An MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay was used to measure the pharmacological activity as the response value. The experimental antitumor activity of the optimum combination was 92.85% in the MTT assay and superior to the activities of each single component. These results demonstrate that response surface methodology based on a central composite design is suitable for the design of multi-component drugs.

关键词： multi-component drug development central composite design turmeric curcuminoids

HTML PDF 收藏

基于主成分综合模型的矿区农田重金属污染评价

王从陆,吴超,段瑜

《中国工程科学》 2008年第10卷第7期页码 180-183

摘要：

文章尝试利用变量聚类分析方法对矿区附近农田土壤重金属污染的主要污染物进行辨识，并采用综合主成分分析法对矿区附近农田土壤重金属污染情况进行评价和分级。分析结果表明：利用变量聚类分析法可以有效地辨识矿区附近农田土壤重金属污染中的主要成分；运用综合主成分分析法，确定样本的综合主成分，并对其排序和聚类，可以有效揭示矿区附近农田土壤重金属污染物的数据结构、相互关系和不同样品点的污染程度。采用主成分分析方法对矿区附近农田土壤重金属污染情况的评价结果，反映了矿区主要重金属污染物的影响，同时又定量化了土壤复合重金属污染研究。辨识和评价结果可为矿区附近农田土壤重金属污染治理对策的提出和重点治理区域的确定提供参考和指导。

关键词：主成分综合模型矿区农田土壤重金属污染评价

HTML PDF 收藏

标题作者时间类型操作

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

期刊论文

removal of ocular artifacts from electroencephalogram signals using spatial constraint independent componentanalysis based recursive least squares in brain-computer interface

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

期刊论文

Feasibility analysis of modified AL-6XN steel for structure component application in supercritical water-cooled

Xinggang LI, Qingzhi YAN, Rong MA, Haoqiang WANG, Changchun GE

期刊论文

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

期刊论文

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

期刊论文

An exploratory study for predicting component reliability with new load conditions