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Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 21-32 doi: 10.1007/s11465-018-0512-z

Abstract: reliability of machine components with parameters that follow an arbitrary statistical distribution using the principleWe obtained the first four moments of the state function for reliability analysis and design.

Keywords： machine components reliability arbitrary distribution parameter principle of maximum entropy

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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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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6, Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: Then, principle component analysis is performed in each block to extract features from the blocks.

Keywords： Leakage detection and localization Image analysis Image pre-processing Principle component analysis

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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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Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Strategic Study of CAE 2008, Volume 10, Issue 5, Pages 75-78

Abstract:

General form of principle-agent model in integrated supply chain hasbeen discussed from principle-agent Theories.Based on the above model, construction project supply chain one-period principle-agent model and multi-periodconstruction project supply chain reputation model have been built with the characters of principle

Keywords： principle- agent model incentive compatibility reputation model random walk

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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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Research on transmission principle and kinematics analysis for involute spherical gear

PAN Cun-yun, WEN Xi-sen, YANG Kun-yu, XU Xiao-jun, LIU Min, YAO Qi-shui

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2, Pages 183-193 doi: 10.1007/s11465-006-0010-6

Abstract: This allows the gear to overcome two disadvantages of the TRALLFA spherical gear: the drive principleThe new transmission and the formation principle of the tooth s surface of the new spherical gear mechanism

Keywords： rotational transformation orientation Furthermore conjugate number

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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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Function and principle innovative design of mechanical products based on TRIZ/FA

YUAN Feng, WANG Tai-yong, NIE Hui-juan

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 350-355 doi: 10.1007/s11465-006-0031-1

Abstract: Function and principle innovation is the ultimate innovation of a product.To achieve Function and principle innovation design of mechanical products, a new process model of functionand principle solving is proposed, based on TRI

Keywords： TRI principle solving product principle innovation ultimate innovation

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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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Title Author Date Type Operation

Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Journal Article

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

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

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

Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

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