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Novel Efficient Technologies in Europe for Axle Bearing Condition Monitoring – the MAXBE Project

Transportation Research Procedia 2016年 14卷 635-644页

作者： Cecília Vale Cristiana Bonifácio Jorge Seabra Rui Calçada Nadia Mazzino Massara Elisa Stefano Terribile Davide Anguita Emanuele Fumeo Carlos Saborido Tom Vanhonacker Edwin De Donder Michael Laeremans Frederik Vermeulen Diarmuid Grimes Construct-LESE Faculty of Engineering of University of Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal Ansaldo STS S.p.A. Via Paolo Mantovani 3-5 16151 Genoa Italy Department of Computer Science Bioengineering Robotics and Systems Engineering (DIBRIS) Polytechnic School of University of Genoa Via all’Opera Pia 13 16145 Genoa Italy COMSA EMTE Edificio Numancia 1 Viriat 47 08014 Barcelona Spain Dynamics Structures and Systems International Jules Vandenbemptlaan 71 3001 Leuven Belgium Vlaamse Vervoermaatschappij De Lijn Grotehondstraat 58 2018 Antwerp Belgium I-MOSS N.V. Corbielaan 5 3060 Bertem Belgium Insight Center for Data Analytics Department of Computer Science University College Cork Cork Ireland

Axle bearing damage with possible catastrophic failures can cause severe disruptions or even dangerous derailments, potentially causing loss of human life and leading to significant costs for railway infrastructure managers and rolling stock operators. Consequently the axle bearing damage process has safety and economic implications on the exploitation of railways systems. Therefore it has been the object of intense attention by railway authorities as proved by the selection of this topic by the European Commission in calls for research proposals. The MAXBE Project ( http://***/ ), a EU-funded project, appears in this context and its main goal is to develop and to demonstrate innovative and efficient technologies which can be used for the onboard and wayside condition monitoring of axle bearings. The MAXBE (interoperable monitoring, diagnosis and maintenance strategies for axle bearings) project focuses on detecting axle bearing failure modes at an early stage by combining new and existing monitoring techniques and on characterizing the axle bearing degradation process. The consortium for the MAXBE project comprises 18 partners from 8 member states, representing operators, railway administrations, axle bearing manufactures, key players in the railway community and experts in the field of monitoring, maintenance and rolling stock. The University of Porto is coordinating this research project that kicked-off in November 2012 and it is completed on October 2015. Both on-board and wayside systems are explored in the project since there is a need for defining the requirement for the onboard equipment and the range of working temperatures of the axle bearing for the wayside systems. The developed monitoring systems consider strain gauges, high frequency accelerometers, temperature sensors and acoustic emission. To get a robust technology to support the decision making of the responsible stakeholders synchronized measurements from onboard and wayside monito

关键词： axle bearings condition monitoring system diagnosis condition-based maintenance

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Flat Rotman lens for 5G beamforming antenna

Flat Rotman lens for 5G beamforming antenna

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Muhammad Kamran Khattak Changhyung Lee Dajung Han Sungtek Kahng Department of Information Technologies Università degli Studi di Milano Doctoral School of Computer Science Crema Italy Doctoral School of Applied Informatics and Applied Mathematics Obuda University Budapest Hungary Antal Bejczy Center for Intelligent Robotics (ABC iRob) Obuda University Budapest Hungary Institute of Mechatronics and Vehicle Engineering Obuda University Budapest Hungary Department of Mathematics and Informatics J. Selye University Komarno Slovakia Department of Information Technologies Università degli Studi di Milano Crema Italy

ISBN: (纸本)9781467372381

In this paper, a planar Rotman lens featured as beamforming and multiple beams is presented, aimed at the potential use for 5G communication. The feeding network and the radiating patches are made as a single layer Taconic-microstrip structure for a 24-GHz area operation for low cost and practicality. The beamforming characteristics are verified by the full-wave simulation which is validated by the fabrication and measurement.

关键词： Lenses Ports (computers) Feeds Array signal processing 5G mobile communication Microstrip

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An automatic screw tightening shaft based on enhanced variable gain PID control

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International Journal of Simulation: Systems, science and Technology 2015年第5期16卷 14.1-14.9页

作者： Liu, Sibang Ge, Shuzhi Sam Qin, Gang Li, Min School of Automation Engineering University of Electronic Science and Technology of China ChengduSichuan611731 China Center for Robotics University of Electronic Science and Technology of China ChengduSichuan611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore119077 Singapore Centre for Robotics University of Electronic Science and Technology of China ChengduSichuan611731 China School of Computer Science and Engineering University of Electronic Science and Technology of China ChengduSichuan611731 China

In this paper, a modular designed automatic screw tightening shaft system, which is based on enhanced variable gain PID control, is proposed. Designed for the autonomous screw tightening operation, the screw tightening shaft enjoys huge potential for industry application. The screw tightening shaft and the screw tightening process are both mathematically modeled as an uncertain feedback system because of the uncertain properties. And the control performance is verified by choosing proper controller parameters that the closed loop system is stable on the basis of the Routh stability criterion whereas the torque tracking error exponentially converges to a small residue. Furthermore, it can be seen from the simulation and experiment results on the screw tightening shaft system that the proposed autonomous system is valid and effective. © 2015, UK Simulation Society. All rights reserved.

关键词： Three term control systems

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Abstracts and Workshops 7th National Spinal Cord Injury Conference November 9-11, 2017 Fallsview Casino Resort Niagara Falls, Ontario, Canada Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2017年第6期40卷 813-869页

作者： [Anonymous] a NET Team Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. fo Neural Engineering and Therapeutic Team Lyndhurst Centre Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. c Rick Hansen Institute Vancouver BC Canada. ev Rick Hansen Institute Vancouver BC Canada. fc Stan Cassidy Hospital University of New Brunswick Fredericton NB Canada. fd Dalhousie University Halifax NS Canada. e University of Saskatchewan Saskatoon SK Canada. aa University of Calgary Calgary AB Canada. y Dalhousie University Halifax NS Canada. fa Health Sciences Centre Winnipeg MB Canada. fb University of Manitoba Winnipeg MB Canada. h University of Alberta Edmonton AB Canada. i Universite Laval Quebe c City QC Canada. bd Rick Hansen Institute Vancouver BC Canada. fz Clinician Investigator Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto. v University of Toront o Toronto ON Canada. n Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto ON Canada. o Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. ga Clinical Scientist Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Physical Therapy University of Toronto. dx Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada. fm Lawson Health Research Institute London ON Canada. r Parkwood Institute London ON Canada. bi Parkwood Institute London ON Canada. s University of British Columbia Vancouver BC Canada. t Simon Fraser University Burnaby BC Canada. u DeltaQuest Foundation Concord MA USA. z Institut national d'excellence en santé et en services sociaux (INESSS) Quebec City QC Ca

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Branch-and-bound algorithm applied to dynamic PRA with uncertainty quantification for LWR station blackout 23

Branch-and-bound algorithm applied to dynamic PRA with uncer...

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23rd International Conference on Nuclear engineering: Nuclear Power - Reliable Global Energy, ICONE 2015

作者： Tokuhiro, Akira Nielsen, Joseph Hiromoto, Robert Purdue University School of Nuclear Engineering West LafayetteIN47907 United States University of Idaho Nuclear Engineering Program Idaho FallsID83402 United States University of Idaho Dept. of Computer Science Idaho FallsID83402 United States

ISBN: (纸本)9784888982566

Probabilistic Risk Assessment (PRA) is an important tool for evaluating risk in nuclear power plants. Dynamic PRA (DPRA) is an extension of traditional PRA methods that account for dynamic and phenomenological effects associated with time-dependent complex dynamic systems. Here we investigated dynamic event trees and optimization per focus on identifying the highest probability of system failure. Using a Branch-and-Bound (B&B) algorithm that relies on and develops bounding functions to prune or delete branches that will not yield the optimal solution (i.e., clad failure). The approach also used novel LENDIT (length, energy, number, distribution, information, time) metrics and S2R2 (state, systems, resources, response) sets to support an expert-based approach that is linked to constraints per use of the B&B algorithm. Results to date indicate that this approach is effective in reducing simulation time and thus mitigating the state explosion of thermal-hydraulic states. The work demonstrated the ability to evaluate uncertainty such that a risk-informed, quantitative PIRT (phenomena identification ranking table) is generated. Quantitative PIRT (QPIRT) can be used to improve models and identify validation needs with respect to risk. Two case studies using reference PWR and BWR plant configurations under SBO were evaluated. The implementation of the B&B algorithm yielded a significant reduction (>50%) in simulation costs. QPIRT ranking for the PWR showed that lower fidelity models combined with system redundancy produces adequate results with respect to risk. For BWR SBO, the modeling uncertainty does not present a challenge with respect to risk. Recovery of the SBO requires either restoration of the AC power or activation of firewater injection combined with operator action to depressurize the system through the automatic depressurization system. The timing of both automatic and manual safety system actuation is indeed critical to the outcome reactor state. Reactor powe

关键词： Nuclear power plants

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Control Schemes for Passive Teleoperation Systems over Wide Area Communication Networks with Time Varying Delay

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International Journal of Automation and computing 2014年第1期11卷 100-108页

作者： Shafiqul Islam Xiaoping P.Liu Abdulmotaleb El Saddik Lakmal Seneviratne Jorge Dias School of Information Technology and Engineering University of Ottawa School of Engineering and Applied Sciences Harvard University Robotics and Mechanical Engineering Khalifa University of Science & Technology Department of Systems and Computer Engineering Carleton University Electrical Engineering New York University Division of Engineering Kings College London Robotics and Electrical and Computer Engineering Khalifa University of Science & Technology Institute of Systems and Robotics University of Coimbra

In this paper,the problem of time varying telecommunication delays in passive teleoperation systems is *** design comprises delayed position,velocity and position-velocity signals with the local position and velocity signals of the master and slave *** adaptive control terms are employed locally to cope with uncertain parameters associated with the gravity loading vector of the master and slave ***-Krasovskii function is employed for three methods to establish asymptotic tracking property of the closed loop teleoperation *** stability analysis is derived for both symmetrical and unsymmetrical time varying delays in the forward and backward communication channel that connects the local and remote ***,evaluation results are presented to illustrate the efectiveness of the proposed design for real-time applications.

关键词： Teleoperation telerobotics Lyapunov-Krasovskii functional time varying delay passive systems

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Adaptive Extended Kalman Filter for a Red Shift Navigation System

Adaptive Extended Kalman Filter for a Red Shift Navigation S...

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第三十四届中国控制会议

作者： Kui Fu Dan Zhang Peng Tang Zhongliang-Tang Wei He School of Computer Science and Engineering University of Electronic Science and Technology of china Computer Science Department Stony Brook University SUNY Korea Incheon 406-840 Center for Robotics University of Electronic Science and Technology of china

ISBN: (纸本)9781467374439

In this paper, a navigation system based on red shift for spacecraft mission in solar system is implemented. Deep space environment is complex and changeable, its characteristics are hard to handle, there exist difficulties to simulate the deep space environment accurately. We know that red shift navigation system can achieve high navigation accuracy in deep space missions. And innovation-based adaptive estimation(IAE) can utilize latest measurement to adaptive adjust the covariance matrix of observation equations and state error covariance matrix. Using IAE method, we proposed a new adaptive filter to handle variable deep space environment. Employing adaptive extended Kalman filter(AEKF) in this system, the navigation performance is analysed. Simulation results indicate that the proposed navigation system using AEKF can achieve higher precision, better availability and continuity compared with conventional extended Kalman filter(EKF), but greater computational burden.

关键词： Adaptive Extended Kalman Filter,Deep Space Navigation,Red Shift

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Data-driven analysis of kinaesthetic and tactile information for shape classification

Data-driven analysis of kinaesthetic and tactile information...

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IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications

作者： Thiago Eustaquio Alves de Oliveira Vinicius Prado da Fonseca Emanuil Huluta Paulo F. F. Rosa Emil M. Petriu School of Electrical Engineering and Computer Science University of Ottawa Faculty of Medicine Ottawa ON CA School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada Defense Engineering Graduate Program The Military Institute of Engineering Rio de Janeiro Brazil

Humans sense of touch consists in a complexity of sensors and nervous system. The information inferred by this system enables the daily dexterous manipulation tasks. In biological systems, there is no conscious prioritization of sensors while performing tactile exploration and the selection of exploratory movements is driven by learning instincts and data gathered by previous movements. The development of artificial systems tries to mimic such systems with engineered sensors and strategies for movement selection. This paper presents a data-driven analysis to the problem of sensor selection in the contour following for shape discrimination task. This task consists of a 4-DOF robotic finger exploring a set of 7 synthetic shapes. The data collected from the motors, inertial measurement unit, and magnetometer was analyzed applying principal component analysis and a multilayer perceptron neural network. Results show the variation of classification rate depending on the fingertip material and sensor considered. It is worth to observe that the magnetometer was the most robust in both cases.

关键词： Shape Magnetometers Robot sensing systems Principal component analysis Magnetic sensors

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Towards Automated Provisioning and Emergency Handling in Renewable Energy Powered Datacenters

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Journal of computer science & Technology 2014年第4期29卷 618-630页

作者：李超王锐胡杨周睿晋刘铭刘龙军袁景凌李涛钱德沛 ACM IEEE Department of Electrical and Computer Engineering University of Florida Gainesville FL 32611 U.S.A. CCF School of Computer Science and Engineering Beihang University Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University School of Computer Science and Technology Wuhan University of Technology

Designing eco-friendly system has been at the forefront of computing research. Faced with a growing concern about the server energy expenditure and the climate change, both industry and academia start to show high interest in computing systems powered by renewable energy sources. Existing proposals on this issue mainly focus on optimizing resource utilization or workload performance. The key supporting hardware structures for cross-layer power management and emergency handling mechanisms are often left unexplored. This paper presents GreenPod, a research framework for exploring scalable and dependable renewable power management in datacenters. An important feature of GreenPod is that it enables joint management of server power supplies and virtualized server workloads. Its interactive communication portal between servers and power supplies allows dataeenter operators to perform real-time renewable energy driven load migration and power emergency handling. Based on our system prototype, we discuss an important topic： virtual machine （VM） workloads survival when facing extended utility outage and insufficient onsite renewable power budget. We show that whether a VM can survive depends on the operating frequencies and workload characteristics. The proposed framework can greatly encourage and facilitate innovative research in dependable green computing.

关键词： data center server system renewable energy green computing

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Multiple Model Adaptive Estimation Algorithm for SINS/CNS Integrated Navigation System

Multiple Model Adaptive Estimation Algorithm for SINS/CNS In...

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第三十四届中国控制会议

作者： Fangfang Zhao Guangqiong Zhao Shuangfei Fan Zhongliang Tang Wei He School of Computer Science and Engineering University of Electronic Science and Technology of China School of Mathematical Sciences University of Electronic Science and Technology of China College of Engineering Virginia Polytechnic Institute and State University Center for Robotics University of Electronic Science and Technology of China

ISBN: (纸本)9781467374439

In this paper, we investigate the Multiple Model Adaptive Estimation(MMAE) and present a new filtering method based on MMAE algorithm. This method is applied to the SINS/CNS integrated navigation system under the motion of ballistic missile. In this proposed algorithm, we use improved Kalman filters rather than traditional Kalman filters, such as Extended Kalman Filter(EKF), Unscented Kalman Filter(UKF). And EKF and UKF are used as sub filters in MMAE algorithm to realize the state estimation of nonlinear system. Single model filters have poor adaptability, when system parameters are unknown or uncertainty. The proposed multiple model filters can solve this problem. As the simulation result shows, the improved filtering methods have better navigation accuracy, and can be more flexible when compared with traditional EKF and UKF algorithms,but pay for heavier computational burden.

关键词： Multiple model adaptive estimation,Kalman filter,strap-down inertial navigation,celestial navigation,integrated navigation

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