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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Reigosa, David Fernandez, Daniel Tanimoto, Tsutomu Kato, Takashi Briz, Fernando University of Oviedo Department of Electrical Computer and System Engineering Spain Nissan Motor Co. Ltd Nissan Research Center EV System Laboratory Japan

ISBN: (纸本)9781467371506

PM temperature measurement/estimation in permanent magnet synchronous machines (PMSMs) is convenient both for torque control and monitoring purposes. Most of existing methods provide and averaged/punctual temperature. However, PM temperature distribution is not uniform, which can have unexpected adverse effects like reduced accuracy estimating the torque produced by the machine or local demagnetization e.g. due to hot spots. PM temperature distribution can be measured or estimated. Since the PMs are not visible, measuring the PM temperature distribution would require an array of temperature sensors attached to the PM. While this is technically feasible, it is unaffordable in commercial products due to cost and robustness issues. Alternatively, the PM temperature distribution can be estimated. The paper analyzes the use of BEMF harmonics to estimate the differential temperature in the PM, i.e. the temperature difference between the hottest and coldest parts of the magnets. Combined with average PM temperature estimation methods, this information can be used to estimate the PM temperature spatial distribution.1 © 2015 IEEE.

关键词： Temperature distribution

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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International Conference on Ubiquitous Robots and Ambient Intelligence

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical Engineering Taiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

ISBN: (纸本)9781509008223

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform (WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the classifiers. Next, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine (weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute, and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

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2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical EngineeringTaiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform(WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the ***, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine(weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute,and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

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Wireless permanent magnet temperature & field distribution measurement system for IPMSMs 7

Wireless permanent magnet temperature & field distribution m...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Fernandez, Daniel Reigosa, David Tanimoto, Tsutomu Kato, Takashi Briz, Fernando University of Oviedo. Department of Electrical Computer and System Engineering Spain Nissan Motor Co. Ltd Nissan Research Center EV System Laboratory Japan

ISBN: (纸本)9781467371506

Permanent magnet (PM) temperature measurement/estimation in permanent magnet synchronous machines (PMSMs) is of great importance for torque control and to prevent PM demagnetization. PM temperature estimation methods can be divided into thermal models, BEMF and pulse/high-frequency signal injection based methods. All of them provide a lumped PM temperature estimation. However, the temperature distribution along the magnet is not uniform, also asymmetries among poles can exist. Analyzing the impact of the temperature variations on the magnet field distribution requires simultaneous measurement of the PM temperature and field distributions. However, this is not easy due to the large amount of temperature and field sensors required, which places significant challenges regarding the sensors integration as well as the signal acquisition and transmission. Most of temperature measurement systems using contact type sensors that have been reported use a reduced amount of sensors and relatively low sampling rates. Furthermore, they do not include field sensors. This significantly limits the analysis that can be realized. This paper presents a wireless PM temperature and field measurement system for PMSMs. The developed system provides PM temperature and field distribution maps for all the poles with high spatial resolution and bandwidth. Uses of the developed system include analysis of the surface and internal PM temperature distribution, PM field distribution, assessment of local demagnetization risks due to hot spots in PMs, as well as development and assessment of new temperature and field distribution estimation methods for PMSMs.1 © 2015 IEEE.

关键词： Permanent magnets

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Innenrücktitelbild: Unconventional Route to Uniform Hollow Semiconducting Nanoparticles with Tailorable Dimensions, Compositions, Surface Chemistry, and Near‐Infrared Absorption (Angew. Chem. 42/2017)

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Angewandte Chemie 2017年第42期129卷

作者： Yanjie He Xinchang Pang Beibei Jiang Chaowei Feng Yeu‐Wei Harn Yihuang Chen Young Jun Yoon Shuang Pan Cheng‐Hsin Lu Yajing Chang Mona Zebarjadi Zhitao Kang Naresh Thadhani Juan Peng Zhiqun Lin School of Materials Science and Engineering Georgia Institute of Technology Atlanta GA 30332 USA Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904 USA Electronic System Laboratory Georgia Tech Research Institute Atlanta GA 30332 USA Department of Macromolecular Science Fudan University Shanghai 200433 China

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Unconventional Route to Uniform Hollow Semiconducting Nanoparticles with Tailorable Dimensions, Compositions, Surface Chemistry, and Near‐Infrared Absorption

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Angewandte Chemie 2017年第42期129卷

Despite impressive recent advances in the synthesis of lead chalcogenide solid nanoparticles, there are no examples of lead chalcogenide hollow nanoparticles (HNPs) with controlled diameter and shell thickness as current synthetic approaches for HNPs have inherent limitations associated with their complexity, inability to precisely control the dimensions, and limited possibilities with regard to applicable materials. Herein, we report on an unconventional strategy for crafting uniform lead chalcogenide (PbS and PbTe) HNPs with tailorable size, surface chemistry, and near‐IR absorption. Amphiphilic star‐like triblock copolymers [polystyrene‐block‐poly(acrylic acid)‐block‐polystyrene and polystyrene‐block‐poly(acrylic acid)‐block‐poly(3,4‐ethylenedioxythiophene)] were rationally synthesized and exploited as nanoreactors for the formation of uniform PbS and PbTe HNPs. Compared to their solid counterparts, the near‐IR absorption of the HNPs is blue‐shifted owing to the hollow interior. This strategy can be readily extended to other types of intriguing low‐band‐gap HNPs for diverse applications.

关键词： Bleichalkogenide Blockcopolymere Hohle Nanopartikel Nahes Infrarot Nanoreaktoren

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Inside Back Cover: Unconventional Route to Uniform Hollow Semiconducting Nanoparticles with Tailorable Dimensions, Compositions, Surface Chemistry, and Near-Infrared Absorption (Angew. Chem. Int. Ed. 42/2017)

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Angewandte Chemie International Edition 2017年第42期56卷

作者： Yanjie He Dr. Xinchang Pang Dr. Beibei Jiang Dr. Chaowei Feng Yeu-Wei Harn Dr. Yihuang Chen Young Jun Yoon Shuang Pan Dr. Cheng-Hsin Lu Yajing Chang Prof. Mona Zebarjadi Dr. Zhitao Kang Prof. Naresh Thadhani Prof. Juan Peng Prof. Zhiqun Lin School of Materials Science and Engineering Georgia Institute of Technology Atlanta GA 30332 USA Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904 USA Electronic System Laboratory Georgia Tech Research Institute Atlanta GA 30332 USA Department of Macromolecular Science Fudan University Shanghai 200433 China

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Correction to: Sequence-specific backbone resonance assignments and microsecond timescale molecular dynamics simulation of human eosinophil-derived neurotoxin

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Biomolecular NMR assignments 2018年第2期12卷 365-367页

作者： Donald Gagné Chitra Narayanan Khushboo Bafna Laurie-Anne Charest Pratul K Agarwal Nicolas Doucet INRS-Institut Armand-Frappier Université du Québec 531 Boulevard des Prairies Laval QC H7V 1B7 Canada. Structural Biology Initiative CUNY Advanced Science Research Center New York NY 10031 USA. Graduate School of Genome Science and Technology University of Tennessee Knoxville TN 37996 USA. Computational Biology Institute and Computer Science and Mathematics Division Oak Ridge National Laboratory 1 Bethel Valley Road Oak Ridge TN 37830 USA. Department of Biochemistry Cellular and Molecular Biology University of Tennessee Knoxville TN 37996 USA. INRS-Institut Armand-Frappier Université du Québec 531 Boulevard des Prairies Laval QC H7V 1B7 Canada. nicolas.doucet@iaf.inrs.ca. PROTEO The Québec Network for Research on Protein Function Engineering and Applications Université Laval 1045 Avenue de la Médecine Quebec QC G1V 0A6 Canada. nicolas.doucet@iaf.inrs.ca. GRASP The Groupe de recherche Axé sur la Structure des Protéines McGill University 3649 Promenade Sir William Osler Montreal QC H3G 0B1 Canada. nicolas.doucet@iaf.inrs.ca.

After publication of this article, the authors noticed that a N-C dimension error was unwillingly coded in the 3D NMR spectrum "***" processing script used to perform backbone assignments for this enzyme. The authors noticed that some OBS, CAR and LAB values in the "***" had been switched in the y and z dimensions, probably resulting from a wrong NMRPipe selection when reading the Varian NMR experimental parameters. They have carefully re-processed, re-analyzed, re-assigned, in addition to checking all scripts to evaluate the extent of this processing error on the published assignments. Authors determined that the "***" error resulted in a significant number of incorrect backbone resonance assignments, requiring us to issue corrections in Figs. 2, 3 and 4 of this published manuscript, in addition to Table S1. New versions of these figures and table are provided below. The corresponding BMRB entry has also been revised. The authors note that these modifications do not change the global message, conclusions, and molecular dynamics simulations presented in this article. The authors are grateful to David N. Bernard (INRS) for help with finding and correcting these errors.

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Erratum to: A new lightweight RFID grouping authentication protocol for multiple tags in mobile environment

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Multimedia Tools and Applications 2017年第21期76卷 22785-22785页

作者： Shen, Jian Tan, Haowen Zhang, Yan Sun, Xingming Xiang, Yang Jiangsu Engineering Center of Network Monitoring Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology School of Computer & Software Nanjing University of Information Science and Technology Nanjing China School of Computer & Software Nanjing University of Information Science & Technology Nanjing China Simula Research Laboratory of Norway and the Department of Informatics University of Oslo Oslo Norway Center for Cyber Security Research Deakin University Deakin Australia

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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