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-means clustering 1

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Policy entry points for facilitating a transition towards a low-carbon electricity future

Frontiers of Engineering Management   Pages 462-472 doi: 10.1007/s42524-022-0214-4

Abstract: the ambit of the debate on electricity transition by specifically identifying possible policy entry pointsmulti-level perspective — a prominent framework for the study of energy transition, four such entry pointsSpecific areas for policy interventions within each of these entry points have also been discussed in

Keywords： electricity transition     multi-level perspective     policy entry points    

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Finding buckling points for nonlinear structures by dynamic relaxation scheme

Mohammad REZAIEE-PAJAND, Hossein ESTIRI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 23-61 doi: 10.1007/s11709-019-0549-z

Abstract: Among the finding related to the structural static path are the critical and buckling points for nonlinearIt is worth emphasizing that sign of the load factor increment changes at the load limit points.

Keywords： load factor     external work     dynamic relaxation     static equilibrium path     large displacement    

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Cusp points and assembly changing motions in the PRR-PR-PRR planar parallel manipulator

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0743-x

Abstract: Cusp points play an important role in the kinematic behavior.This study investigates the cusp points and assembly changing motions in a two degrees of freedom planarCusp points are then obtained by the intersection of a quadratic curve and a cubic curve.Two assembly changing motions by encircling different cusp points are highlighted, for each pair of solutions

Keywords： planar parallel manipulator     assembly changing motions     cusp points     quartic polynomial     discriminant    

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Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks

PAN Yong, JIANG Juncheng, WANG Zhirong

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 4,   Pages 390-394 doi: 10.1007/s11705-007-0071-z

Abstract: networks, which had the high ability of nonlinear of prediction, was established to predict the flash pointsas input parameters of neural networks to study the correlation of molecular structures with flash pointsThe results showed that the predicted flash points were in good agreement with the experimental dataThe method can be used not only to reveal the quantitative correlation between flash points and molecularstructures of alkanes but also to predict the flash points of organic compounds for chemical engineering

Keywords： information     nonlinear     quantitative correlation     superior     molecular    

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Assembly variation analysis of flexible curved surfaces based on Bézier curves None

Zhen-yu LIU, Shi-en ZHOU, Jin CHENG, Chan QIU, Jian-rong TAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 796-808 doi: 10.1631/FITEE.1601619

Abstract: Most of the current variation analysis methods either neglect the relationships among feature pointson part surfaces or regard the distribution of all feature points as the same.flexible curved surface assembly when considering surface continuity through the relations between control pointsand data points.The deviations of feature points on side lines are obtained through control point distribution and are

Keywords： Assembly variation analysis     Feature points     Side lines     Flexible curved surfaces     Bézier curves    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract: It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andSo, the size of training sample set affects the efficiency of feature extraction.It is supposed that in feature space the eigenvectors may be linearly expressed by a part of trainingIKPCA extracts feature components of one sample efficiently, only based on kernel functions between nodes

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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The Strategic Thoughts With Spacecraft as Starting Points to Achieve Manned Space in China

Zhao Shaokui

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 8-12

Abstract:

The paper presents analysis and summary about concept research, proof of technical channels as well as the strategic thoughts on manned space development and decision making of manned space in China, and presents a deep strategic thought about the development of modern grand engineering system in China.

Keywords： manned space in China     airship     technical channels     strategic thoughts    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault featureAiming to extract the fault feature of planet gear effectively, we propose a novel feature extractioncollected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: In this paper, we apply several unsupervised feature learning algorithms (including -means clustering

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Therefore, a fault detection method based on self-supervised feature learning was proposed to addressA comprehensive comparison study was also conducted with various feature extractors and unary classifiersmodel can detect progressive faults very quickly and achieve improved results for comparison without feature

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

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Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 69-75

Abstract: By analyzing the characteristics and feature extraction of typical AE signals, the paper applies wavelet

Keywords： wavelets scalogram     acoustic emission     feature extraction     fault diagnosis     rolling bearing    

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Title Author Date Type Operation

Policy entry points for facilitating a transition towards a low-carbon electricity future

Journal Article

Finding buckling points for nonlinear structures by dynamic relaxation scheme

Mohammad REZAIEE-PAJAND, Hossein ESTIRI

Journal Article

Cusp points and assembly changing motions in the PRR-PR-PRR planar parallel manipulator

Journal Article

Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks

PAN Yong, JIANG Juncheng, WANG Zhirong

Journal Article

Assembly variation analysis of flexible curved surfaces based on Bézier curves

Zhen-yu LIU, Shi-en ZHOU, Jin CHENG, Chan QIU, Jian-rong TAN

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

The Strategic Thoughts With Spacecraft as Starting Points to Achieve Manned Space in China

Zhao Shaokui

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Journal Article