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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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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: It enables in situ monitoring of cutting data and machining accuracy evolution and has becomeIn 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 toExperimental results demonstrate that the smart toolholder accurately captures machining data with a

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

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligentGiven the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studiedSecond, the localization for multi-source faults is seldom investigated, although locating the anomalyvariable over multivariate sensing data for certain types of faults is desirable.weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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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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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: performance prediction of dynamic systems by developing a new digital twin framework that includes simulation data, measuring data, multi-level fusion modeling (M-LFM), visualization techniques, and fatigue analysismethod combines the advantages of different surrogate models and integrates simulation and measured data

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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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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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: detection for quadruped robots, a detection approach based on the probabilistic contact model with multi-informationfusion is presented to detect the actual contact states of robotic feet with the ground.

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

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A cellphone-based colorimetric multi-channel sensor for water environmental monitoring

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1590-z

Abstract:

● A cellphone-based colorimetric multi-channel sensor for in-field

Keywords： Colorimetric analysis     Multi-channel sensor     Cellphone     Water quality indexes     Environmental monitoring    

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced dataessential element to this transformation is the exploitation of large amounts of historical process dataand large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

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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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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centersaims at the lowest power fluctuation, eliminating the impact of prediction errors through coordinated multi-timescale

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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A thermally flexible and multi-site tactile sensor for remote 3D dynamic sensing imaging

Guoting Xia, Yinuo Huang, Fujiang Li, Licheng Wang, Jinbo Pang, Liwei Li, Kai Wang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 1039-1051 doi: 10.1007/s11705-019-1901-5

Abstract: A flexible, multi-site tactile and thermal sensor (MTTS) based on polyvinylidene fluoride (resolution

Keywords： tactile/thermal sensor     piezoelectric/pyroelectric effects     high resolution     spatial mapping     motion monitoring    

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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: With the synchronized and processed RGB-D data, location points were generated and a 3D point cloud mapExperiments with single connected and multi-branched regions demonstrated the high robustness, efficiency

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

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Case study of data-oriented approach for building energy performance investigation

Jianjun XIA, He XIAO, Yi JIANG,

Frontiers in Energy 2010, Volume 4, Issue 1,   Pages 22-34 doi: 10.1007/s11708-010-0024-y

Abstract: parameters that may influence building energy performance is studied by comparing the building energy dataBy introducing data-orientated approach, a study of a set of on-campus building energy demand and consumptionThe breakdown analyses of the current energy consumption data are used to focus the investigation onthe USA is mainly caused by operation schedule, system style, cooling and heating counteraction and sensor

Keywords： USA     counteraction     on-campus building     over-high     sensor/actuator    

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Title Author Date Type Operation

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

Journal Article

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

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

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

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

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

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

Journal Article

A cellphone-based colorimetric multi-channel sensor for water environmental monitoring

Journal Article

Big data and machine learning: A roadmap towards smart plants

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

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

A thermally flexible and multi-site tactile sensor for remote 3D dynamic sensing imaging

Guoting Xia, Yinuo Huang, Fujiang Li, Licheng Wang, Jinbo Pang, Liwei Li, Kai Wang

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

Case study of data-oriented approach for building energy performance investigation

Jianjun XIA, He XIAO, Yi JIANG,

Journal Article