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Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: energy operator (EO) and its variants have received considerable attention in the field of bearing fault featureTo address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultfeature nonlinearly and effectively.verifications confirm that the proposed strategy is more effective for enhancing the bearing fault featurethan the existing methods, including HOEOs, the weighting HOEO fusion, the fast Kurtogram, and the empirical

Keywords： higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information fusion    

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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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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: A lighter backbone network was used for feature extraction.Next, an efficient shallow feature fusion module that extracts crack features across pixels is designed

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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Informatization of Mechanical Product —Some Information Techniques for Mechanical Equipment

Qu Liangsheng,Hu Zhaoyong

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 20-28

Abstract: Combining with some achievements in authors' research practice, the paper mainly analyzes information fusionand feature extraction during the process of mechanical product informatization.

Keywords： informatization     mechanical engineering     information fusion     feature extraction    

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Magnetic confinement fusion: a brief review

Chuanjun HUANG, Laifeng LI

Frontiers in Energy 2018, Volume 12, Issue 2,   Pages 305-313 doi: 10.1007/s11708-018-0539-1

Abstract: Fusion energy is considered to be the ultimate energy source, which does not contribute to climate changeDuring the past several decades, never-ceasing efforts have been made to peacefully utilize the fusionIn this paper, the main developments of magnetic confinement fusion with emphasis on confinement systemsThe scientific feasibility of magnetic confinement fusion has been demonstrated in JET, TFTR, JT-60,A fusion roadmap to DEMO and commercial fusion power plant has been established and steady progresses

Keywords： fusion energy     magnetic confinement     tokamak     structural material     superconducting magnet    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: Clear, correct imaging is a prerequisite for underwater operations. In real freshwater environment including rivers and lakes, the water bodies are usually turbid and dynamic, which brings extra troubles to quality of imaging due to color deviation and suspended particulate. Most of the existing underwater imaging methods focus on relatively clear underwater environment, it is uncertain that if those methods can work well in turbid and dynamic underwater environments. In this paper, we propose a turbidity-adaptive underwater image enhancement method. To deal with attenuation and scattering of varying degree, the turbidity is detected by the histogram of images. Based on the detection result, different image enhancement strategies are designed to deal with the problem of color deviation and blurring. The proposed method is verified by an underwater image dataset captured in real underwater environment. The result is evaluated by image metrics including structure similarity index measure, underwater color image quality evaluation metric, and speeded-up robust features. Test results exhibit that the method can correct the color deviation and improve the quality of underwater images.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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M-LFM: a multi-level fusion modeling method for shape−performance integrated digital twin of complex

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0708-0

Abstract: developing a new digital twin framework that includes simulation data, measuring data, multi-level fusion

Keywords： shape−performance integrated digital twin (SPI-DT)     multi-level fusion modeling (M-LFM)     surrogate model     telescopic boom crane     data fusion    

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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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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imagequality in line with different fusion schemes.Furthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Information fusion in aquaculture: a state-of the art review

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 206-221 doi: 10.15302/J-FASE-2016111

Abstract: In this review, an information fusion approach was used to integrate multi-sensor and computer visionInformation fusion is a well-known technology that has been used in different fields of artificial intelligenceInformation fusion in aquaculture is a growing field of research that is used to enhance the performanceThis review study surveys different fish feeding systems using multi-sensor data fusion, computer vision

Keywords： aquaculture     computer vision     information fusion     modeling     sensor    

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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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Contact detection with multi-information fusion for quadruped robot locomotion under unstructured terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0760-4

Abstract: quadruped robots, a detection approach based on the probabilistic contact model with multi-information fusion

Keywords： multi-information fusion     contact detection     quadruped robot     probabilistic contact model     unstructured    

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Analysis of spinal lumbar interbody fusion cage subsidence using Taguchi method, finite element analysis

Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 247-255 doi: 10.1007/s11465-012-0335-2

Abstract: Anterior lumbar interbody fusion (ALIF) cages may subside into the vertebral body and lead to kyphoticprevious studies have utilized an artificial neural network (ANN) for the design of a spinal interbody fusionTherefore, the Taguchi-FEA-ANN approach can serve as an effective procedure for designing a spinal fusion

Keywords： anterior lumbar interbody fusion (ALIF)     artificial neural network (ANN)     finite element     interbody cage     lumbar interbody fusion     subsidence     taguchi method    

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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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Title Author Date Type Operation

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

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

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

Informatization of Mechanical Product —Some Information Techniques for Mechanical Equipment

Qu Liangsheng,Hu Zhaoyong

Journal Article

Magnetic confinement fusion: a brief review

Chuanjun HUANG, Laifeng LI

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

M-LFM: a multi-level fusion modeling method for shape−performance integrated digital twin of complex

Journal Article

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

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Information fusion in aquaculture: a state-of the art review

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

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

Contact detection with multi-information fusion for quadruped robot locomotion under unstructured terrain

Journal Article

Analysis of spinal lumbar interbody fusion cage subsidence using Taguchi method, finite element analysis

Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN

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