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-means clustering 1

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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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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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A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 50-55

Abstract: Then the fusion features in the complex feature space is extracted by using complex PCA (CPCA).

Keywords： feature fusion     linear discriminant analysis (LDA)     feature extraction     face recognition    

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Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract:

For optimal results, retrieving a relevant feature from a has become a hot topic for researchers involvedway for comprehending and highlighting the multitude of challenges and issues in finding the optimal featureaccuracy and convergence ability of several wrappers and hybrid algorithms to identify the optimal feature

Keywords： Feature selection     High dimensionality     Learning techniques     Microarray dataset    

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Two-level hierarchical feature learning for image classification Article

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 897-906 doi: 10.1631/FITEE.1500346

Abstract: In this paper, we propose a novel two-level hierarchical feature learning framework based on the deepFirst, the deep feature extractors of different levels are trained using the transfer learning methodSecond, the general feature extracted from all the categories and the specific feature extracted fromhighly similar categories are fused into a feature vector.Then the final feature representation is fed into a linear classifier.

Keywords： Transfer learning     Feature learning     Deep convolutional neural network     Hierarchical classification    

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Wavelet design for extracting weak fault feature based on lifting scheme

JIANG Hong-kai, WANG Zhong-sheng, HE Zheng-jia

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 199-203 doi: 10.1007/s11465-006-0009-z

Abstract: results confirm that the proposed method is better than other wavelet methods for extracting weak fault feature

Keywords： misalignment     imbalance     particular     position     mechanical    

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Special feature on computational photography Editorial

Qiong-hai DAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1205-1206 doi: 10.1631/FITEE.1730000

Abstract: 计算摄像学是为了突破传统成像技术局限而诞生的新兴领域，在研制新型民用相机和科学观测设备方面均有巨大潜力。过去十余年，计算摄像学在计算机视觉、图形学、光学以及信号处理等多学科交叉领域开启了新的前沿，学术界和工业界共同见证了此领域的一系列创新和重大进展。可以说，该领域充满机遇和挑战。为此，我们出版此计算摄像学专题，以推动此领域的研究。 依据视觉信号的维度，我们将计算摄像学研究分为空间结构成像、多光谱采集、相位成像以及瞬态信息记录等。计算摄像学研究也受益于光电科技的发展。为促进读者对此领域最新进展的全面了解，此专题包括8篇邀请文章，其中7篇综述——包括1篇该领域总体概述和6篇关于视觉信号不同维度计算成像方法进展的调查——以及1篇关于片上光互连近期进展的研究论文。

Keywords： None    

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Design Feature and Evolution of Dynamic Air Cushion Wing-in-ground Effect Craft

Hui Liang,wu Chengjie,xie Younong,Peng Guihua

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 67-72

Abstract:

The design features and the evolution of the Amphibious wing in Ground Effect Craft (AWIG) (also so called Dynamic Air Cushion Wing-in-Ground Effect Craft, DACWIG) in China are described in this paper. The prospect of developing a novel type of WIG, with high speed, fine seaworthiness, marvelous amphibious, and being able to fly in/beyond ground effect zone and softly land on ground, as well as maneuver in air (just like the Russian novel type of WIG,Экранолë“тИВОЛГА-2”)，for both dvil and military application is full of hope.

Keywords： dynamic air cushion     amphibious     wing-in-ground effect craft     feature     evolution    

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Title Author Date Type Operation

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

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

A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Journal Article

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Journal Article

Two-level hierarchical feature learning for image classification

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Journal Article

Wavelet design for extracting weak fault feature based on lifting scheme

JIANG Hong-kai, WANG Zhong-sheng, HE Zheng-jia

Journal Article

Special feature on computational photography

Qiong-hai DAI

Journal Article

Design Feature and Evolution of Dynamic Air Cushion Wing-in-ground Effect Craft

Hui Liang,wu Chengjie,xie Younong,Peng Guihua

Journal Article