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International Symposium on Advanced control of industrial processes (ADCONIP)

作者： J. Chen N. Cheng J. Zhang Department of Chemical Engineering Chung Yuan Christian University Chungli Taiwan Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China National Institute for Standards and Technology Boulder CO USA

A neural based PID feedback control method for networked process control systems is presented. As there are some uncertain factors such as external disturbance, randomly delayed measurements or control demands in real networked process control systems, the proposed PID controller is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed loop systems. To demonstrate the potential applications of the proposed strategy, an example of a simulated batch reactor is provided. The proposed design method is shown to be useful and effective in dealing with network process control systems.

关键词： process control Delay Artificial neural networks control systems Stochastic processes Inductors Entropy

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Identification of the electronic equipment's power-on characteristics based on the bus voltage ripple data

Identification of the electronic equipment's power-on charac...

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IEEE International Conference on Mechatronics and Automation

作者： Xianhui Meng Fusheng Zhang Weiling Liu Chao Tan Institute of Manned Space System Engineering China Academy of Space Technology Beijing China Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China

ISBN: (纸本)9781479970995

The research method of identification of the electronic equipment's power-on characteristics based on the data of bus voltage ripple is introduced. The main purpose is to achieve the recognition of the equipment's power-on characteristics through a certain algorithm design, and provide reference for the follow-up intelligent applications of the bus-ripple-tester. Two methods are used here. One is frequency spectrum analysis based on the collected signals. Due to the differences of spectrum distribution between these equipment's signals collected before and after their power-on time, the frequency band of each equipment's characteristic distribution is different, which make it possible to achieve the purpose of identification. The other is the time-frequency analysis based on wavelet transform. According to the difference of wavelet energy of the equipment's signals collected before and after their power-on time, the equipment can be recognized.

关键词： Time-frequency analysis Noise reduction Signal processing Continuous wavelet transforms

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Research on consensus control for a class of high-order multi-agent systems

Research on consensus control for a class of high-order mult...

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作者： Zhang, Wenguang Guo, Zhenkai Beijing Key Laboratory of Measurement and Control New Technology and System for Industrial Process School of Control and Computer Engineering North China Electric Power University Beijing 102206 China School of Mathematics and Information Ludong University Yantai 264205 China

ISBN: (纸本)9789881725592

This paper researches the consensus problem of high-order multi-agent systems. A new dynamic neighbor-based protocol is proposed which contains two parts, one is the local feedback and the other is the distributed feedback of the first states of each agent. Sufficient conditions are derived for state consensus of the system. Finally, simulation results are shown the effectiveness of the obtained results. © 2011 Chinese Assoc of Automati.

关键词： Multi agent systems

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A molecular cryptography model based on structures of DNA self-assembly

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Chinese Science Bulletin 2014年第11期59卷 1192-1198页

作者： Yang, Jing Ma, Jingjing Liu, Shi Zhang, Cheng Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process School of Control and Computer Engineering North China Electric Power University Beijing China Key Laboratory of High Confidence Software Technologies Ministry of Education Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing China

With the progress of DNA computing, DNA-based cryptography becomes an emerging interdisciplinary research field. In this paper, we present a novel DNA cryptography that takes advantage of DNA self-assembled structure. Making use of the toehold strands recognition and strand displacement, the bit-wise exclusive-or (XOR) operation is carried out to fulfill the information encryption and decryption in the form of a one-time-pad. The security of this system mainly comes from the physical isolation and specificity of DNA molecules. The system is constructed by using complex DNA self-assembly, in which technique of fluorescent detection is utilized to implement the signal processing. In the proposed DNA cryptography, the XOR operation at each bit is carried out individually, thus the encryption and decryption process could be conducted in a massive, parallel way. This work may demonstrate that DNA cryptography has the great potential applications in the field of information security.

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Internal model control for hysteretic nonlinear systems based on support vector regression

Internal model control for hysteretic nonlinear systems base...

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World Congress on Intelligent control and Automation (WCICA)

作者： Wenguang Zhang Jianqin Mao Yanhua Ma Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process Control & Computer Engineering School North China Electric Power University Beijing China School of Automation Science and Electrical Engineering Beijing Aeronautics and Astronautics University Beijing China

Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.

关键词： Support vector machines Actuators Automation Data models Computational modeling Hysteresis Magnetostriction

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Health Condition Monitoring of Satellite Momentum Wheel Bearing Based on Canonical Variable Analysis and Sliding Interval Variance

Health Condition Monitoring of Satellite Momentum Wheel Bear...

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industrial Cyber-Physical systems (ICPS)

作者： Sirui Du Shumei Zhang Yang Zhao Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin China Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China

With the rapid development of space technology, the demand for satellite reliability is getting higher and higher. Momentum wheel is a key component of satellite attitude control system, and its reliability is an important factor affecting the life of satellite. The condition monitoring of momentum wheel bearing (MWB) is of great significance to ensure the long life and high reliable operation of the satellite. In this paper, a new monitoring method based on multivariate statistics and canonical variable analysis (CVA) is proposed, and a new health degree function is defined from both dynamic and static aspects. First, the time-frequency domain analysis technique is used to extract the features of MWB in time domain, frequency domain and time-frequency domain, and the multi-domain high-dimensional health condition feature set is constructed. Then, in order to reduce the complexity of the problem, feature reduction is realized based on CVA. On the basis of considering steady-state error and sliding interval variance (SIV), the health degree (HD) characterizing the performance condition of MWB is defined. Finally, the experimental results based on the bearing test-bed show that the proposed method is feasible and effective, and the data-driven health condition monitoring of satellite momentum wheel bearing is realized.

关键词： Condition monitoring Time-frequency analysis Analytical models Satellites Wheels Feature extraction Complexity theory

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Routing protocol for wireless sensor networks in home automation 8th

Routing protocol for wireless sensor networks in home automa...

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8th IFAC Conference on Fieldbuses and Networks in industrial and Embedded systems, FeT 2009

作者： Li, Xiao Hui Xu, Hong Qin Hong, Seung Ho Wang, Zhi Piao, Xiang Fan Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Republic of Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji133002 China

ISBN: (纸本)9781617825583

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Routing protocols

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An Early Fault Detection Method of the Induced Draft Fan Based on Long-Short Term Memory Network and Double Warning Thresholds

An Early Fault Detection Method of the Induced Draft Fan Bas...

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第34届中国控制与决策会议

作者： Wei Wei You Lv Yizhuo Liu Qing Li Shisen Xu Jun Li School of Control and Computer Engineering North China Electric Power University Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Huaneng Technology Innovation Center Xian Thermal Power Research Institute Company Limited

The induced draft(ID) fan is a significant piece of auxiliary equipment in thermal power *** early detection of possible faults in the ID fan may be used for effective predictive maintenance,thereby reducing the overall maintenance cost and improving the reliability and availability of thermal power *** paper proposed a genetic algorithm and long-short term memory network(GA-LSTM)-based condition monitoring approach using normal operation data of the ID ***,the LSTM network and the sliding window technique were introduced to construct double thresholds,which contains a dynamic threshold and a static *** GA-LSTM-double thresholds method was applied to a coal-fired power plant to achieve early fault detection and *** results demonstrates that the proposed method is capable of detecting minor anomalies in advance.

关键词： Early Fault Detection Long-Short Term Memory(LSTM) Genetic Algorithm(GA)

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Research on the corrosive effect of inactive sulfur on oil-paper insulation 7

Research on the corrosive effect of inactive sulfur on oil-p...

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7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020

作者： Gao, Sihang Li, Jiajun Ke, Tingjing Liu, Yang Ding, Dong Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China State Grid Chongqing Electric Power Company Chongqing Chongqing China Baoding Electric Power Corporation Baoding China State Key Lab. of Transmission Distribution Equipment and Power System Safety and New Technology Chongqing University Chongqing China

ISBN: (纸本)9781728155111

Sulfur corrosion induced by active sulfur has been proved to significantly decrease the insulation performance of oil-immersed equipment. In order to protect the oil-paper insulation from sulfur corrosion, active sulfur is cleared in the refining process of crude oil. Some inactive sulfur with high-efficiency antioxidant is still retained in the mineral oil to improve the oxidation stability of oil, such as thiophenic compounds. However, the corrosive effect of inactive sulfur on the oil-paper insulation has not yet clear. Therefore, thiophene that is the largest content of sulfide in the insulating oil was selected as the research object, a series of accelerated thermal ageing experiments of oil-paper without and with thiophene under the different high temperature were conducted, scanning electron microscope equipped with an energy-dispersive X-ray spectrometer (SEM/EDX) and inductively coupled plasma atomic emission spectrometry (ICP-AES) were used to characterize the corrosion degree of oil-paper insulation. The results show that no corrosive deposit was observed on the surface of oilpaper insulation without thiophene even at very high temperature, while a few corrosive deposit was accumulated on the surface of oil-paper insulation with 500 mg/kg thiophene. The corrosion degree of oil-paper insulation with thiophene had an uptrend as the increase of temperature (130°C-180°C), preliminarily indicating that thiophene may be activated in the oil-paper system under the action of overheating fault of oil-immersed transformer and posed a corrosion threat to oil-paper insulation. © 2020 IEEE.

关键词： Scanning electron microscopy

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Transferable Intervalization and Midpoint De-Mixing Interval Independent Component Analysis for industrial Fault Detection Under Data Uncertainty

SSRN

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SSRN 2024年

作者： Zhang, Shumei Wang, Sijia Dong, Feng Zhao, Chunhui Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin373200 China School of Information and Intelligent Engineering Tianjin Renai College Tianjin301636 China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

Due to noise disturbance, sensor drift, and some circumstance factors, process data are unavoidably contaminated with uncertainty, which may destroy the correlation structure of original data and make traditional process monitoring methods perform poorly. In this study, a transferable Gaussian mixture learning (TGML) method is developed to make full use of the important knowledge extracted from source domains to guide and improve the intervalization process of target domain with limited data. Then, a midpoint de-mixing interval independent component analysis (MDM-I2CA) is proposed for non-Gaussian processes with uncertainty. First, MDM-I2CA expands the traditional centering and whitening methods into interval domain to concentrate the data information on higher-order statistics. Second, a midpoint coding strategy is developed to depict the process information with the idea of focusing on the variation between intervals of a dataset, and the statistically interval independent components are further de-mixed. Finally, four monitoring statistics are constructed for fault detection. © 2024, The Authors. All rights reserved.

关键词： Fault detection

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