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Global Congress on Intelligent Systems

作者： Xu, Xiaoli Liu, Qiushuang Zuo, Yunbo Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China School of Mechanical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9780769543048

Solar power generation is an important means to solve energy shortage and environmental pollution. In order to improve the efficiency of power generation of high-efficiency solar concentrating photovoltaic power generation system at present, it is required to begin with improving the tracking accuracy of solar concentrating photovoltaic power generation system and improving overall light focusing efficiency, put forward a new solar azimuth all-weather adaptive two-dimensional auto-tracking control method suitable for different weather conditions, utilize real-time control strategies and control parameter auto-optimization methods to realize flexible timing tracking and photoelectric tracking control, make the system be able to monitor weather changes in real time, and perform adaptive selection and control on solar azimuth tracking mode according to different weather conditions to improve solar azimuth tracking precision and the power generation efficiency of photovoltaic power system and reduce the energy consumption of tracking system. © 2010 IEEE.

关键词： Solar power generation

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Condition prediction of flue gas turbine based on Echo State Network

Condition prediction of flue gas turbine based on Echo State...

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Xu, Xiao-Li Chen, Tao Wang, Shao-Hong School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424459612

Echo State Network is one pioneering recurrent neural network with the core structure of a randomly generated and unchangeable reservoir. This paper provides a Condition prediction model of flue gas turbine by applying Echo State Network and makes prediction of the overall vibration value. Compared to Elman neural network prediction model, examples show that Echo State Network has wonderful dynamic characteristics with smaller error and less prediction time. The model has a good performance in non-linear time series prediction, indicating that the model is feasible in the condition prediction of flue gas turbine. © 2010 IEEE.

关键词： Flue gases

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Color pattern recognition using fast quaternion correlation algorithm

Color pattern recognition using fast quaternion correlation ...

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International Symposium on Systems and control in Aerospace and Astronautics

作者： Pan, Juntao Fei, Shumin Ni, Yudong Zou, Wenlin Key Laboratory of Measurement and Control of CSE Ministry of Education Southeast University Nanjing 210096 China School of Science Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9781424460441

Quaternion correlation techniques take advantage of high recognition precision and strong noise tolerance have been widely used in mangy application of color image processing. In this paper, a fast color pattern recognition algorithm based on quaternion correlation techniques is proposed. By traditional complex fast Fourier transform , a more efficient quaternion correlation algorithm was applied in the color pattern recognition aim at enhancing the efficiency of available algorithm. Experimental results on synthetic and natural images verify our arguments throughout the paper. ©2010 IEEE.

关键词： Fast Fourier transforms

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The research of classification method for significant risk of hazardous chemical tanker which in transit

The research of classification method for significant risk o...

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2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010

作者： Jiang, Yongqing Yang, Dongji Zhao, Jingrui Wang, Bing Liu, Yang Department of Safety Science and Engineering College of Measurement-control Technology and Communications Engineering Harbin University of Science and Technology Harbin 150080 China Higher Educational Key Laboratory for Measuring and Control Technology Instrumentations of Heilongjiang Province Harbin 150080 China

ISBN: (纸本)9780769542522

Accounting to the present situation of China's road transport for dangerous chemicals, governments at all levels has no specific classification methods of major hazard source for hazardous chemicals tanker in transit. In this paper, we use fuzzy comprehensive evaluation method as the theoretical basis, combined with cases of accident and research materials using the fuzzy statistical method to construct the membership, and to get a reasonable classification according to the principle of maximum degree of membership. In selecting evaluation factors we take into account the cause of the accident during transport, process control and consequences of the accident, divide hazard chemical tankers in transit into four grades through applying the method to the practice, and the classification results accord with the actual situation. © 2010 IEEE.

关键词： Fuzzy set theory

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The research of method of short-term traffic flow forecast based on GA-BP neural network and chaos theory

The research of method of short-term traffic flow forecast b...

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International Conference on Information Science and Engineering (ICISE)

作者： Zhu, Chunmei Xu, Xiaoli Yan, Changpeng School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education China

ISBN: (纸本)9781424480968

In order to improve the efficiency and precision of short-term traffic flow forecast, for the traditional BP neural network that has such shortcomings as slow convergent speed and easy convergence to the local minimum points, this paper adopts genetic algorithm to optimize BP network structure and sets up a forecast method combining chaos theory with neural network, and the methods of traffic flow forecast based on chaos theory and neural network theory are researched. According to the results of forecasting research of actual traffic flow data by adopting chaos BP neural network forecast method and chaos GA-BP neural network forecast method, it is effective to apply chaos neural network forecast algorithm to short-term traffic flow forecast and improved chaos GA-BP neural network forecast algorithm can improve the precision and timeliness of short-term traffic flow forecast. © 2010 IEEE.

关键词： Chaos theory

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Cam grinding based on fuzzy variable step cubic spline interpolation

Cam grinding based on fuzzy variable step cubic spline inter...

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International Conference on E-Product E-Service and E-Entertainment

作者： Peng, Baoying Han, Qiushi Human Resource Department China Academy of Machinery Science and Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424471614

Used fixed equal step cubic spline interplolation in non-circular machining, the influence of acceleration may be too strong to cause burns and vibration. To suppress the acceleration influnce of feed axis, take cam grinding as an illustration, first derived acceleration and its change from the cubic spline fuction??then adopting the method of off-line fuzzy model logical reasoning conbined with five points of three power smooth, obtained the modified variable interplolation time steps. The experiment results that the feed axis acceleration stability used fuzzy step cubic spline intepolationis is much better than equal step spline in cam grinding under the same processing efficiency. ©2010 IEEE.

关键词： Fuzzy control

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Chlorine gas sensors using hybrid organic semiconductors of PANI/ZnPcCl_(16)

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Journal of Semiconductors 2010年第8期31卷 88-92页

作者：雷廷平施云波吕文龙刘洋陶巍袁鹏亮林立伟孙道恒王立权 College of Physics and Mechanical & Electrical Engineering Xiamen University Mechanical Engineering Center for Post-doctoral Studies Harbin Engineering University Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province School of Measurement Control Tech & Communications EngineeringHarbin University of Science and Technology Qingyang Secondary Specialized School of Science and Technology Department of Mechanical Engineering and Berkeley Sensor and Actuator Center University of CaliforniaBerkeleyCalifornia 94720USA

PANI/ZnPcCl_（16）（polyaniline doped with sulfosalicylic acid/hexadecachloro zinc phthalocyanine） powders were vacuum co-deposited onto Si substrates,where Pt interdigitated electrodes were made by *** PANI/ZnPcCl_（16） films were characterized and analyzed by SEM,and the influencing factors on its intrinsic performance were analyzed and sensitivities of the sensors were investigated by exposure to chlorine（Cl_2） *** results showed that powders prepared with a stoichiometric ratio of（ZnPcCl_（16））_（0.6）（PANI）_（0.4） had a preferential sensitivity to Cl_2 gas, superior to those prepared otherwise;the optimal vacuum co-deposition conditions for the films are a substrate temperature of 160℃,an evaporation temperature of 425℃and a film thickness of 75 nm;elevating the operation temperature （above 100℃） or increasing the gas concentration（over 100 ppm） would improve the response characteristics,but there should be upper levels for ***,the gas sensing mechanism of PANI/ZnPcCl_（16） films was also discussed.

关键词： PANI/ZnPcCl_（16） hybrid organic semiconductors chlorine gas sensors vacuum co-deposition

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Research on data-based nonlinear fault prediction theory and methods in multi-transform domains for electromechanical equipment

Research on data-based nonlinear fault prediction theory and...

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23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2010

作者： Wang, Shaohong Chen, Tao Xu, Xiaoli School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing China Beijing Key Laboratory on Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9784883254194

Most faults of large-scale electromechanical equipment are trendy ones, often have long course characteristics. As the fault information is usually lost in non-fault information of condition changes, the traditional methods are difficult to predict it effectively. To solve this problem, field data-based fault prediction theory and methods are studied primary for large rotating electromechanical equipment, and new nonlinear prediction way in multi-transform domains is proposed to achieve long course prediction for the equipment under variable operating conditions. In the new way fault feature extraction method of nonlinear dimensionality reduction is investigated to extract fault and potential fault sensitive information and to separate faulty development changes from non-fault energy changes. The research is important for large electromechanical equipment to achieve early fault prediction, guarantee safe operation, save maintenance costs, improve utilization and implement scientific maintenance.

关键词： Feature extraction

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Monitoring and control technology of solar photovoltaic power generation system

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电子测量与仪器学报 2010年第10期24卷 887-891页

作者： Xu Xiaoli Zuo Yunbo Wang Huan Beijing Information Science ＆ Technology University Beijing 100192 China Beijing Institute of Technology Beijing 100085 China Key Laboratory of Modem Measurement ＆ Control Technology （Beijing InformationScience ＆ Technology University） Ministry of Education Beijing 100192 China

In view of characteristics of solar photovoltaic (PV) power station such as the decentralized layout and massive monitoring and control information, a solar PV power generation monitoring and control system has been designed. The system is designed into three layers namely the sensor and actuator layer, the PLC field monitoring and control layer and the remote network monitoring and control layer. Through ZigBee wireless network, PROFIBUS and GPRS wireless network, the system makes the three layers exchange information rapidly, and the system supervises not only various operational parameters of the power generating system but also weather changes as a way to change the solar tracking strategy of the PV power generating system and reduce the operating energy consumption of the system. Through the hardware redundant design of PLC central controller and the upper computer, the solar PV power station can be more secure and reliable when running.

关键词：计算机网络监控控制技术光电功率

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Fault detection and isolation based on optimal fault-tolerant observers for linear system

Fault detection and isolation based on optimal fault-toleran...

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International Conference on Electrical and control Engineering, ICECE 2010

作者： Yi, Jianbo Huang, Qi Sichuan Provincial Key Laboratory of Power System Wide-Area Measurement and Control Department of Automation University of Electronic Science and Technology of China UESTC Chengdu Sichuan Province 611731 China

ISBN: (纸本)9780769540313

The problem of diagnosing the actuator faults and sensor faults of linear system with the methods of fault detection and isolation (FDI) technology and optimal fault-tolerant observers is addressed. The measurable outputs used to reconstruct states for the system carry the fault information, which may affect the performance of the system state estimation. In this paper, by comparing the measurable outputs, reliable outputs without fault is selected as the input of the reconstructed system. Then reduced order optimal fault-tolerant observers are used to track the system states. Based on the FDI technology, residual observers are designed to achieve the fault detection for the linear system. Case studies demonstrate the effectiveness of FDI technology and optimal fault-tolerant observers method used in fault detection and isolation. © 2010 IEEE.

关键词： Linear systems

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