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World Congress on Intelligent Control and Automation

作者： Hongmei Liu Lianfeng Li Chen Lu Wanlin Zhao Xuan Wang School of Reliability and Systems Engineering Beihang University Beijing 100191 China Science & Technology Laboratory on Reliability & Environmental Engineering Beijing 100191 China Beijing System Design Institute of the Electro-mechanic Engineering Beijing 100854 China

ISBN: (纸本)9781467384155

To improve the robustness of performance assessment for aileron actuators, a novel performance assessment for aileron actuators using multi-fractal detrended fluctuation analysis (MF-DFA) and self-organizing mapping (SOM) neural network is first proposed. First, a generalized regression neural network (GRNN) is employed to establish a fault observer, then the residue is generated by subtracting the actual actuator system output from the observer output. Second, the residue's feature is extracted by MF-DFA. Third, SOM neural network, trained only by the normal residue's feature, is used to obtain the minimum quantization error (MQE) between the current feature and the normal feature, and the health confidence value (CV) is obtained by normalizing MQE. Lastly, four types of faults, namely electronic amplifier gain abrupt change, electronic amplifier gain gradual change, sensor gain change and cylinder leakage, are applied to validate the effectiveness of the proposed method.

关键词： Actuators Neural networks Fractals Observers Feature extraction Fluctuations Degradation

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Nuclear Safety Improvement and R&D in NPIC for the Post Fukushima Era

Nuclear Safety Improvement and R&D in NPIC for the Post Fuku...

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2015欧亚经济论坛-2015第五届国际新能源产业大会

作者： Hongxing Yu Laboratory of Reactor Design Science and Technology Nuclear Power Institute of China

As the Three Mile Island and Chernobyl,the tragic Fukushima Dai-ichi Nuclear Power Plant accident occurring 4years ago has been the driving force to the safety improvement,its R&D and even for the next generation *** NPIC there are three dominant R&D fields:1) Safety improvement after Fukushima accident includes SBO evaluation and improvement,Seismic Margin Assessment(SMA) based on risk information,development and implementation of Severe Accident Management Guidelines,Severe Accident Expert systems and etc.;2) R&D on nuclear safely covers fundamental research on key phenomena(*** degradation and reflooding,corium behaviour,hydrogen risks and etc.),Accident Tolerant Fuel(ATF),new methodology for coupling of PSA and deterministic safety analysis and etc.;3) design for GEN Ⅲ safely systems contains Cavity Injection system(CIS),Passive Removal system(PRS),passive containment cooling system and *** could be summarized that not only the safety of operating nuclear power plants and those under constructions has been enhanced due to these implements,but also the elaborative R&D are of significant value as the basement to finally achieve the practical elimination of large radioactive release.

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Neutron transport study based on assembly modular ray tracing MOC method

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Hedongli Gongcheng/Nuclear Power Engineering 2015年第3期36卷 157-161页

作者： Tian, Chao Zheng, Youqi Li, Yunzhao Li, Shuo Chai, Xiaoming School of Nuclear Science and Technology Xi'an Jiaotong University Xi'an710049 China State Nuclear Power Software Development Center Beijing102200 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China

It is difficulty for the MOC method based on Cell Modular Ray Tracing to deal with the irregular geometry such as the water gap between the PWR lattices. Hence, the neutron transport code NECP-Medlar based on Assembly Modular Ray Tracing is developed. CMFD method is used to accelerate the transport calculation. The numerical results of the 2D C5G7 benchmark and typical PWR lattice prove that NECP-Medlar has an excellent performance in terms of accuracy and efficiency. Besides, NECP-Medlar can describe clearly the flux distribution of the lattice with water gap. ©, 2015, Yuan Zi Neng Chuban She. All right reserved.

关键词： Ray tracing

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Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

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Preliminary research on flow reversal phenomenon of SCWR 23

Preliminary research on flow reversal phenomenon of SCWR

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

作者： Liu, Liang Zhou, Tao Li, Yu Chen, Juan Wei, Xiaoyan Xia, Bangyang North China Electric Power University Nuclear Thermal Safety and Standardization Research Institute Beijing102206 China China Nuclear Power Institute Nuclear Reactor System Design Technology Laboratory Chengdu Sichuan610041 China

ISBN: (纸本)9784888982566

Taking the CSR1000 reactor as the research object, the SCAC-CSR1000 transient safety analysis code was made. The safety analysis of CSR1000 was done. The results showed that there is a flow reversal phenomenon in the reactor coolant pump seizure accident. When the inlet flow decreased gradually, the flow distribution of upper plenum and the 1st coolant channel will reduce, that of the lower dome and both the 1st and the 2nd moderator channel will increase gradually. The 1st coolant channel will have the flow reversal phenomenon most likely. The 1st and the 2nd moderator channel require a large orifice mode, the lower dome and the 1st coolant channel require a smaller orifice mode. Copyright © 2015 by JSME.

关键词： Orifices

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Program design for CSR1000 passive residual heat removal system 23

Program design for CSR1000 passive residual heat removal sys...

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

作者： Li, Yu Zhou, Tao Liu, Liang Chen, Juan Wei, Xiaoyan Xia, Bangyang North China Electric Power University Nuclear Thermal Safety and Standardization Research Institute Beijing102206 China China Nuclear Power Institute Nuclear Reactor System Design Technology Laboratory Chengdu Sichuan610041 China

ISBN: (纸本)9784888982566

China supercritical water cooled reactor CSR1000 is one of the fourth generation advanced reactors and is the first one which introduces passive safety system into the fourth generation reactor. Establish an analysis module based on Fortran language for the isolation condenser system (ICS) of CSR1000. This module mainly includes solving the flow control equation. Based on this module, sensitivity analysis for the ICS of CSR1000 is done, which mainly analysis the influence of outlet pressure and temperature, the decay power and the height difference of hot and cold end. Results show that, with the increase of the core exit temperature and the height difference between hot and cold end, the natural circulation flow rate is gradually increased, while with the increase of the outlet pressure and the decrease of heating power, the natural circulation flow rate gradually decreases. Between the core outlet pressure and temperature, the temperature has a greater influence on the natural circulation flow rate. Copyright © 2015 by JSME.

关键词： Sensitivity analysis

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Face Detection based-on Depth Information Using HOG-LBP

Face Detection based-on Depth Information Using HOG-LBP

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2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

作者： Tiemeng Li Fei Lyu Wenjun Hou Yu Lei Chen Xiao Key Laboratory of Network System and Network Culture Beijing University of Posts & Telecommunication School of Digital Media & Design Arts Beijing University of Posts & Telecommunications Beijing Chin Automation School Beijing University of Posts & Telecommunications Beijing China School of Computer Science and Technology Beijing University of Posts & Telecommunications Beijing

ISBN: (纸本)9781509011964

Face detection is one of the key technology for face information ***,face detection is mainly based on the RGB image,which might lead unexpected results when dealing with non-real 2-dimensional face,which printed on clothes and *** work proposes a face detection approach based on features of depth *** used depth camera to obtain the raw depth data,and then mapped it to the 2D image combined with smooth image processing method to get the depth *** improved HOG-LBP algorithm was designed to profiling the features of face depth,and SVM-light was used for machine ***,an online video face detection system was accomplished.

关键词： Face Detection Depth Image HOG-LBP SVM Stereovision

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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

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LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

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Analysis of RCS depressurization effects on containment temperature for Qinshan phase II nuclear power plant 22

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2014 22nd International Conference on Nuclear Engineering, ICONE 2014

作者： Lili, Liu Ming, Zhang Jian, Deng Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Chengdu China

ISBN: (纸本)9780791845936

A severe accident code was applied for modeling of a typical pressurized water reactor (PWR) nuclear power plant, and the effects of RCS depressurization on the gas temperature of the relief tank cell in the containment during a station blackout (SBO) induced accident was analyzed. The sensitivity calculation indicated that the hydrogen generation rate obviously increased due to RCS depressurization in a critical stage. The results show that RCS depressurization can play an important role in hydrogen generation rate and total accumulation, and the temperature of the containment atmosphere is highly influenced by hydrogen combustion. High temperature induced by hydrogen combustion may degrade the equipment and instruments capabilities. Based on this analysis, a feasible strategy of RCS depressurization for mitigating the accident consequence is provided for developing the capacity of the SBO treatment of Qinshan Phase II Nuclear Power Plant (QSP-II NPP). Copyright © 2014 by ASME.

关键词： Nuclear power plants

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Study on material selection of reactor pressure vessel of SCWR

Study on material selection of reactor pressure vessel of SC...

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Energy Materials 2014

作者： Shuli, Ma Ying, Luo Qinwei, Yin Changxiang, Li Guofu, Xie Science and Technology on Reactor System Design Technology Laboratory NPIC Chengdu610041 China

ISBN: (纸本)9781119027942

This paper first analyzes the feasibility of SA-508 Grade 3 Class 1 Steel as an alternative material for Supercritical Water-Cooled reactor (SCWR) reactor Pressure Vessel (RPV). This kind of steel is limited to be applied in SCWR RPV due to its quenching property, though large forging could be accomplished by domestic manufacturers in forging aspect. Therefore, steels with higher strength and better quenching property are needed for SWCR RPV. The chemical component of SA-508 Gr.3 Cl.2 steel is similar to that of SA-508 Gr.3 Cl.1 steel, and more appropriate matching of strength and toughness could be achieved by the adjusting the elements contents, as well as proper control of tempering temperature and time. In light of the fact that Cl.2 steel has been successfully applied to steam generator, it could be an alternative material for SWCR RPV. SA-508 Gr.4N steel with high strength and good toughness is another alternative material for SCWR RPV. But large amount of research work before application is still needed for the lack of data on welding and irradiation etc.

关键词： Water cooled reactors

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