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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

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4, Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: 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 relativeThe results of experiments show that grey relational analysis coupled with principal component analysis

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

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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

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraint independent componentanalysis based recursive least squares (SCICA-RLS) is proposed.In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels into

Keywords： Electroencephalogram (EEG) Electrooculogram (EOG) Brain-computer interface (BCI) Spatial constraint independent componentanalysis based recursive least squares (SCICA-RLS)

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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

Frontiers in Energy 2009, Volume 3, Issue 2, Pages 193-197 doi: 10.1007/s11708-009-0030-0

Abstract: impact toughness were measured to evaluate the qualification of modified AL-6XN steel as an in-core component

Keywords： supercritical water cooled reactor tensile impact toughness corrosion aging

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

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

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5, Pages 403-412 doi: 10.1631/FITEE.1600028

Abstract: Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remoteWhen used for spectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionalityAlthough principal component analysis (PCA) can be used to mitigate these two problems, the transformedBased on this conclusion, we present a method to perform NMF in the principal component space, named‘principal component NMF’ (PCNMF).

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

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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2, Pages 222-225 doi: 10.1007/s11465-008-0028-z

Abstract: The formula to compute the normal component of the weak magnetic field is deduced based on the spatial

Keywords： geomagnetic theory important criterion magnetic leakage normal component

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 76-84 doi: 10.1007/s11465-018-0522-x

Abstract: With a beam problem as a case study, this study explores a feasible way to re-evaluate the componentreliability with new Loads given the following information: The original reliability of the componentwith respect to the component Loads and the distributions of the new component Loads.the component failure under the new Loads.Since the information is limited, the re-evaluated component reliability is given by its maximum and

Keywords： reliability component failure mode prediction random variable

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Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on Principal ComponentAnalysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Strategic Study of CAE 2020, Volume 22, Issue 1, Pages 120-126 doi: 10.15302/J-SSCAE-2020.01.013

Abstract: The paper uses expert questionnaires and principal component analysis to identify the factors that have

Keywords： Qinba Mountain Area forestry industry SWOT method principal component analysis ecological environment

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

Gholamreza ABDOLLAHZADEH, Seyed Mostafa SHABANIAN

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4, Pages 642-661 doi: 10.1007/s11709-017-0457-z

Abstract: First, the component-based mechanical model will be introduced in which every source of transformation

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

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AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5, Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Abstract: self-supervised framework called the abnormal event detection network (AED-Net), which is composed of a principal componentanalysis network (PCAnet) and kernel principal component analysis (kPCA), is proposed to address this

Keywords： Abnormal events detection Abnormal event detection network Principal component analysis network Kernelprincipal component analysis

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4, Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Given the complexity of power grids, the failure of any component may cause large-scale economic losses

Keywords： resilience measure power grid importance measure component recovery

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Systematic review for geo-authentic Lonicerae Japonicae Flos

Xingyue Yang, Yali Liu, Aijuan Hou, Yang Yang, Xin Tian, Liyun He

Frontiers of Medicine 2017, Volume 11, Issue 2, Pages 203-213 doi: 10.1007/s11684-017-0504-0

Abstract: Sixty-five studies mainly discussing about chemical fingerprint, component analysis, planting and processing

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

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

C. SCHMIDT, J. ULRICH

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 1, Pages 49-54 doi: 10.1007/s11705-013-1307-8

Abstract: prediction because the investigation on the face growth rates in a complex growth environment (as multi-component

Keywords： crystallization morphology molecular dynamics solution

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Forward Selection Component Analysis – Algorithms and Applications

Seán McLoone(高级职称)

28 Nov 2020

Keywords：仿真技术人工智能

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

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3, Pages 376-384 doi: 10.1007/s11465-018-0500-3

Abstract:

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.

Keywords： isothermal local loading forming rib-web component transitional region robust optimization dual response

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

Xiaohang ZHANG,Shengnan HAN,Yan LI,Jianlan JIANG

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 3, Pages 362-368 doi: 10.1007/s11705-014-1439-5

Abstract: A methodology to develop multi-component drugs based on traditional Chinese medicines has been developedSeveral active components from the traditional Chinese medicine turmeric were chosen for use in a multi-componentdetermine the quantitative composition-activity relationships in order to optimize the amount of each componentof the optimum combination was 92.85% in the MTT assay and superior to the activities of each single componentresponse surface methodology based on a central composite design is suitable for the design of multi-component

Keywords： multi-component drug development central composite design turmeric curcuminoids

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Title Author Date Type Operation

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

Journal Article

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

Journal Article

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

Journal Article

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

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

Journal Article

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Journal Article

An exploratory study for predicting component reliability with new load conditions