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Development and testing of a wireless smart toolholder with multi-sensor fusion

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0774-y

Abstract: In this study, we propose a wireless smart toolholder with multi-sensor fusion for simultaneous sensingWe select force, vibration, and temperature sensors suitable for smart toolholder fusion to adapt to

Keywords： wireless smart toolholder     multi-sensor fusion     circular runout     dynamic balancing     static stiffness    

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Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 42-47 doi: 10.1007/s11709-014-0285-3

Abstract: shapes are less influenced by temperature variation and able to locate damage but requires extensive sensorThis study proposes novelty of damage factor based on sensor fusion to exclude effect of temperatureThe advantages of the proposed method are: 1) requirement of small number of sensor, 2) robustness to

Keywords： sensor fusion     damage detection     structural health monitoring    

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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 intelligence, robotics, image processing, computer vision, sensors and wireless sensor networks.Information 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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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: previous fault diagnosis methods only used vibration or pressure signal, and literatures related to multi-sensordata fusion for the pump fault diagnosis are limited.This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial pistonResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

Keywords： axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

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Mutual-information basedweighted fusion for target tracking in underwater wireless sensor networks None

Duo ZHANG, Mei-qin LIU, Sen-lin ZHANG, Zhen FAN, Qun-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 544-556 doi: 10.1631/FITEE.1601695

Abstract: Underwater wireless sensor networks (UWSNs) can provide a promising solution to underwater target trackingBecause all measurements are fused together to provide information in a fusion center, fusion weightsWe study a weighted fusion scheme for target tracking in UWSNs.target state can quantify target information provided by the node, it is calculated to determine proper fusionSecond, we design a novel multi-sensor weighted particle filter (MSWPF) using fusion weights determined

Keywords： Target tacking     Fusion weight     Mutual information     Node selection     Underwater wireless sensor networks    

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Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors Article

Ningbo Yu, Shirong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 164-172 doi: 10.1016/j.eng.2018.11.014

Abstract:

The autonomous exploration and mapping of an unknown environment is useful in a wide range of applications and thus holds great significance. Existing methods mostly use range sensors to generate two-dimensional (2D) grid maps. Red/green/blue-depth (RGB-D) sensors provide both color and depth information on the environment, thereby enabling the generation of a three-dimensional (3D) point cloud map that is intuitive for human perception. In this paper, we present a systematic approach with dual RGB-D sensors to achieve the autonomous exploration and mapping of an unknown indoor environment. With the synchronized and processed RGB-D data, location points were generated and a 3D point cloud map and 2D grid map were incrementally built. Next, the exploration was modeled as a partially observable Markov decision process. Partial map simulation and global frontier search methods were combined for autonomous exploration, and dynamic action constraints were utilized in motion control. In this way, the local optimum can be avoided and the exploration efficacy can be ensured. Experiments with single connected and multi-branched regions demonstrated the high robustness, efficiency, and superiority of the developed system and methods.

Keywords： Autonomous exploration     Red/green/blue-depth     Sensor fusion     Point cloud     Partial map simulation     Global    

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A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road Review

Jin-wen Hu, Bo-yin Zheng, Ce Wang, Chun-hui Zhao, Xiao-lei Hou, Quan Pan, Zhao Xu,hujinwen@nwpu.edu.cn,zhengboyin@mail.nwpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.1900518

Abstract: With the development of sensor fusion technologies, there has been a lot of research on intelligent groundis a complicated task, which involves the diversity of obstacles, sensor characteristics, and environmentalA single type of sensor finds it hard to satisfy the needs of because of the sensing limitations inThis survey aims at summarizing the main considerations for the onboard multi-sensor configuration ofState-of-the-art methods and system prototypes are reviewed and associated to the corresponding heterogeneous sensor

Keywords： Multi-sensor fusion     Obstacle detection     Off-road environment     Intelligent vehicle     Unmanned ground vehicle    

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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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Biomedical sensor technologies on the platform of mobile phones

Lin LIU, Jing LIU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 160-175 doi: 10.1007/s11465-011-0216-0

Abstract: The focus was particularly put on interpreting the technical strategies to innovate the biomedical sensor

Keywords： biomedical sensor     pervasive technology     mobile phone     combined system     health management    

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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)First, source images are compressed by compressive sensing, to facilitate the transmission of the sensorIn the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationquality 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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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: To address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultMDIM is regarded as the fusion source of the proposed strategy with the properties of improving the signal-to-interferenceenhancing the bearing fault feature than the existing methods, including HOEOs, the weighting HOEO fusion

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

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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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Title Author Date Type Operation

Development and testing of a wireless smart toolholder with multi-sensor fusion

Journal Article

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Journal Article

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

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

Mutual-information basedweighted fusion for target tracking in underwater wireless sensor networks

Duo ZHANG, Mei-qin LIU, Sen-lin ZHANG, Zhen FAN, Qun-fei ZHANG

Journal Article

Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors

Ningbo Yu, Shirong Wang

Journal Article

A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road

Jin-wen Hu, Bo-yin Zheng, Ce Wang, Chun-hui Zhao, Xiao-lei Hou, Quan Pan, Zhao Xu,hujinwen@nwpu.edu.cn,zhengboyin@mail.nwpu.edu.cn

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

Biomedical sensor technologies on the platform of mobile phones

Lin LIU, Jing LIU

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

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

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