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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Fan fault diagnosis based on wavelet spectral analysis 34

Fan fault diagnosis based on wavelet spectral analysis

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34th Chinese control Conference, CCC 2015

作者： Zheng, Wen Pu, Wang Xuejin, Gao Yachao, Zhang College of Electronic and Control Engineering Beijing University of Technology Beijing China Engineering Research Center of Digital Community Ministry of Education Beijing China Beijing Laboratory for Urban Mass Transit Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (纸本)9789881563897

Fan plays an irreplaceable role in the ventilation of underground environment. It will cause serious consequences once the fan fails. So it is essential to do fault diagnosis of fan to prevent the emergence of break down. Spectral analysis method is a simple and effective method for signal analysis and it has been widely used in fault diagnosis of rotating machinery. This paper has researched the bearing fault of fan on the base of in-depth study of the frequency characteristics of typical faults fan. High-frequency noise of vibration signal has been removed through wavelet soft thresholding method. Get its spectrum characteristic of the reconstructed signal, and then the failure category of signal is discriminated by comparing its characteristic frequency to typical faults frequency in theory. Combining the advantage of LabVIEW and MATLAB, we implement the algorithm through two of them, accomplishing denoising and spectral analysis of vibration signals, completing fault diagnosis of fan. © 2015 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Fan Fault Diagnosis Spectral Analysis Wavelet Denoising

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A Coordination control Strategy of Voltage-Source-Converter-Based MTDC for Offshore Wind Farms

A Coordination Control Strategy of Voltage-Source-Converter-...

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IEEE Transactions on Industry Applications

作者： Wang, Zhuo-Di Li, Ke-Jun Ren, Jing-Guo Sun, Li-Jun Zhao, Jian-Guo Liang, Yong-Liang Lee, Wei-Jen Ding, Zhao-Hao Sun, Ying Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute Jinan China State Grid of China Technology College Jinan China Energy Systems Research Center University of Texas at Arlington ArlingtonTX United States

Similar to other major electrical apparatuses, the reliability and stability of the dc network is becoming the most important issue when using the voltage-source-converter-based multiterminal dc (VSC-MTDC) system for offshore wind power integration. A coordinated control strategy of VSC-MTDC named master-auxiliary is proposed by combining the advantages of the voltage margin and voltage droop control. This strategy has three advantages. First, the master converter station with the constant dc voltage control can provide reference to the system dc voltage and is helpful for the stabilization of dc voltage. Second, the integrated control of the dc voltage in both master and auxiliary converter stations are helpful for providing adequate active power control (APC) and restraining large power variation. Third, the APC converter station can serve as a backup for the dc voltage control in abnormal conditions. In order to guarantee the reliability and stability of the system under various operating conditions, this paper introduces the priority of dc voltage control to the coordination control strategy. Moreover, a parameter optimizing method of controllers for this strategy is also proposed. Finally, the effectiveness of the master-auxiliary control is verified by simulations under normal and abnormal conditions. © 2015 IEEE.

关键词： Offshore wind farms Electric utilities system stability Voltage control Wind power Auxiliary control Coordination control Direct current Multi terminal dc Voltage source converters

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Consistency analysis of DFIG wind generation models in PSS/E and PSASP

Consistency analysis of DFIG wind generation models in PSS/E...

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International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

作者： Tao Fu Hengxu Zhang Changgang Li Qingwen Xu Xiaoming Liu Ji Zhang Chao Qi Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education School of Electrical Engineering of Shandong University Jinan China School of Electrical and Electronic Engineering Shandong University of Technology Zibo China Economic&Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781467371070

With rapid increase of wind power installed capacity, the operation mode of power system has changed greatly, it is necessary to include modeling and simulation based on wind turbines and farms. Numerical simulation plays a unique role in power system operation and control, and its accuracy turns out to be the focus of electric industry. PSASP and PSS/E, as two main sorts of simulation analysis software at home and abroad respectively, both enable wind turbines electromechanical transient simulation. In this paper, Detailed comparisons are made between Doubly-fed induction generator (DFIG) in PSS/E and PSASP. Finally, simulative results of power system including the models are compared and analyzed.

关键词： control systems Power industry Numerical simulation Induction generators Numerical models Frequency conversion

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Association rules mining algorithm using sharing mechanism niche leaping ant colony based on apriori algorithm

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Journal of Computational and Theoretical Nanoscience 2015年第10期12卷 3223-3231页

作者： Wang, Yang Xu, Yakun Li, Gang Wang, Hongliang MicroNano System Research Center College of Information Engineering Taiyuan University of Technology Taiyuan Shanxi China Key Lab of Advanced Transducers and Intelligent Control System of the Ministry of Education Taiyuan University of Technology Taiyuan Shanxi China Ministry of Education North University of China Taiyuan China

Based on the alarm data in the information communication network under the context of big data, the paper discusses the classic association mining algorithms of Apriori and FP-Growth with living examples, elaborates the ant colony algorithm and the niche technology, combines the Apriori algorithm thought and the Travelling Salesman Problem (TSP) of the ant colony algorithm, and proposes association rules mining algorithm using Sharing mechanism Niche Leaping Ant Colony based on Apriori algorithm (SN-APLAC algorithm). The algorithm achieves the thought of "leaping ants" by accelerating support calculation through a sparse linked list and setting the route point of non frequent item sets as "stimulation point" and retains the local optimal solution to further improve the quality of association rules mining utilizing the technique of sharing mechanism niche. Copyright © 2015 American Scientific Publishers.

关键词： Association rules

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Corrigendum to “A Novel Improved Probability-Guided RANSAC Algorithm for Robot 3D Map Building”

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Journal of Sensors 2016年第1期2016卷

作者： Songmin Jia Ke Wang Xiuzhi Li Tao Xu College of Electronic and Control Engineering Beijing University of Technology Beijing 100124 *** Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124 *** Engineering Research Center of Digital Community Ministry of Education Beijing 100124 *** School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Xinxiang 453003 ***

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Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations

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Human molecular genetics 2017年第2期26卷 454-465页

作者： Wei Jie Seow Keitaro Matsuo Chao Agnes Hsiung Kouya Shiraishi Minsun Song Hee Nam Kim Maria Pik Wong Yun-Chul Hong H Dean Hosgood Zhaoming Wang I-Shou Chang Jiu-Cun Wang Nilanjan Chatterjee Margaret Tucker Hu Wei Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Baosen Zhou Neil E Caporaso Demetrius Albanes Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Xiao-Ou Shu Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Michiaki Kubo Yataro Daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Hiroshi Nokihara Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Zhihua Yin Jianxin Shi Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Tangchun Wu Fusheng Wei Jason Y Y Wong Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Victor Ho Fun Lee Wu-Chou Su Yuh-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Pan-Chyr Yang Hsien-Chih Lin Yong-Bing Xiang Adeline Seow Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Haixin Li Yu-Tang Gao Chen Wu Biyun Qian Daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Charles Lawrence Laurie Burdett Meredith Yeager Kevin B Jacobs Amy Hutchinson Sonja I Berndt Xingzhou He Wei Wu Junwen Wang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu Chang Hyun Kang Lingmin Hu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Alan Dart Loon Sihoe Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho-Il Yoon Qiuyin Cai Chien-Chung Lin In Kyu Park Ping Xu Jing Dong Christopher Kim Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen John K C Chan Minjie Chu Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Yen-Li Lo Ying-Hsiang Chen Joseph F Fraumeni Jie Liu Taiki Yamaji Yang Yang Belynda Hicks Kathleen Wyatt Shengchao A Li Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Saw Swee Hock School of Public Health National University of Singapore and National University Health System Singapore. Division of Molecular Medicine Aichi Cancer Center Research Institute Nagoya Japan. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. Department of Pathology The University of Hong Kong Queen Mary Hospital Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA. Department of Computational Biology St. Jude Children's Research Hospital Memphis TN 38105 USA. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai People's Republic of China. State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai People's Republic of China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Department of Integrative Bioscience & Biotechnology Sejong University Seoul Republic of Korea. Department of Epidemiology School of Public Health China Medical University Shenyang People's Republic of China. Guangdong Lung Cancer Institute Medical Research Center and Cancer Center of Guangdong General Hospital Guangdong Academy of Medical Sciences Guangzhou People's Republic

To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), for overall lung adenocarcinoma risk, and rs3817963 (6p21.3, BTNL2) which is specific to cases with EGFR mutations. In further sub-analyses by EGFR status, rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1) showed stronger estimated associations in EGFR-positive compared to EGFR-negative cases. Comparison of the overall associations with published results in Western populations revealed that the majority of these findings were distinct, underscoring the importance of distinct contributing factors for smoking and non-smoking lung cancer. Our results extend the catalogue of regions associated with lung adenocarcinoma in non-smoking Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications.

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Chiller gradual fault detection based on Independent Component Analysis

Chiller gradual fault detection based on Independent Compone...

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第27届中国控制与决策会议

作者： Pu Wang Jiaojiao Xin Xuejin Gao Yachao Zhang College of Electronic and Control Engineering Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Beijing Laboratory for Urban Mass Transit Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781479970186

Aiming at the chiller process variables cannot be strictly obey the Gauss distribution,and the large number of variables between the serious correlation,this paper describes a fault detection method to detect the faults of *** Component Analysis(ICA) approach is used to extract the correlation of variables of chiller and reduce the dimension of measured data.A ICA-based method model is built to determine the thresholds of statistics and calculate statistics I2 and SPE,which are used to check if a fault occurs in *** method is validated using the laboratory data from ASHRAE RP-1043 and compared with Principle Component Analysis(PCA).Results show that the ICA-based method has better fault detection performance of *** has very good sensitivity for early fault and can effectively reduce the false alarm rate.

关键词： Fault Detection,ICA,PCA,Chiller

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The Evaluation Method of PID controller Parameter Tuning Based on Fluent

The Evaluation Method of PID Controller Parameter Tuning Bas...

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第27届中国控制与决策会议

作者： Xuejin Gao Siyu Wang Pu Wang College of Electronic and Control Engineering Beijing University of Technology Engineering Research Center of Digital Community Ministry of Education Beijing Laboratory For Urban Mass Transit Beijing Key Laboratory of Computational Intelligence and Intelligent System

ISBN: (纸本)9781479970186

For the problem that it is difficult to evaluate overall control effects when tuning PID controller parameter,this paper propose an evaluation method tuning PID controller parameter which is based on Fluent and computer aided *** method uses Fluent to emulate controlled object,and Fluent UDF to conduct the unsteady closed-loop control,achieving evaluation for PID controller parameter *** northern platform in one of the station of the Line 5 in Beijing for example,the results show that the method can be effectively evaluate the control effects in different control parameters.

关键词： Fluent PID User-Defined Function subway station

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A new motion control method for omnidirectional intelligent wheelchair based on improved Fuzzy Support Vector Machine

A new motion control method for omnidirectional intelligent ...

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IEEE International Conference on Mechatronics and Automation

作者： Wentao Guo Songmin Jia Tao Xu Xiuzhi Li College of Electronic and Control Engineering Beijing University of Technology Beijing China Ministry of Education Engineering Research Center of Digital Community Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (纸本)9781479970995

This paper proposed the FSVM (Fuzzy Support Vector Machine) based on affinity to achieve the intelligent wheelchair motion control. The gravity center, which can be computed by calculating the weights of four force sensors under the wheelchair seat, is the key factor to determine the intention of movement of the user. The improved fuzzy membership function of FSVM can reduce the effect of clustering gravity center caused by abnormal clustering gravity center data generated from malfunction. Comparing with the traditional SVM (Support Vector Machine), the improved FSVM algorithm has lower error rate. This paper further validates the practical feasibility and validity of the proposed control algorithm. The experiment results show that the proposed algorithm can improve the precision of omnidirectional intelligent wheelchair motion control.

关键词： Wheelchairs Gravity Support vector machines Clustering algorithms Training Force sensors Noise

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