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2nd International Conference on Energy Science and Applied Technology, ESAT 2015

作者： Ding, Tengfei Yin, Chunyuan Cao, Yunxia Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Networked Control System CAS Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System CAS Shenyang China

ISBN: (纸本)9781138028333

The security of the power transformer operation directly affects the whole power system. Thus, this paper aims to design the system for "real-time" monitoring the parameters of the transformer based on the TMS320F28335 DSP designed by TI Company. First, the system makes use of different sensors’ signal acquisition. Then, the inconsistent analog signal can be converted into the standard signal for AD conversion through the analog signal photoelectric isolation amplifier. Finally, the DSP will process them, and the processed data will be transferred to the host computer for storage and display. The test results show that the system can monitor the equipment running status accurately, stably and timely. © 2016 Taylor & Francis Group, London.

关键词： Power transformers

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Ageing characteristics and lifetime model of oil-paper insulation for oil-immersed paper condenser bushing

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High Voltage 2021年第2期6卷 278-290页

作者： Sihang Gao Lijun Yang Tingjing Ke Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqingChina State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina State Grid Chongqing Electric Power Company Chongqing ChongqingChina

This study extensively investigated the ageing characteristics and lifetime model of oil-paper insulation for oil-immersed paper condenser *** accelerated thermal and electrothermal ageing experiments of oil-immersed paper condenser bushing were con-ducted *** properties of oil-paper insulation during the ageing process were *** showed that descending speed of degree of polymerization of the innermost and the outermost layer paper was higher than that of middle layer paper,the difference in water content on different paper layers caused varying deterioration *** aluminium foil contributed to a surge in aluminium dissolution in oil,further accelerating the ageing of *** on the obtained degree of polymerization data under thermal ageing at 90°C,100°C and 130°C,the lifetime model of oil-paper insu-lation for condenser bushing model was *** addition,the surface breakdown of the scale model of bushing occurred after 133 days ageing,the properties of bushing decreased gradually during the ageing process and sharply after the *** of polymerization deviation of different paper layers in bushing between calculated value according to the above lifetime model and actual value of bushing after the breakdown was less than 6%,further verifying the validity of lifetime model.

关键词： lifetime immersed insulation

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State and parameter identification of linearized water wave equation via adjoint method

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Science China(Information Sciences) 2024年第10期67卷 283-297页

作者： Yang YU Cheng-Zhong XU Hai-Long PEI Jinpeng YU School of Automation Qingdao University LAGEP Batiment CPE University Claude Bernard-Lyon 1 School of Automation Science and Engineering Key Laboratory of Autonomous Systems and Networked ControlMinistry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle SystemSouth China University of Technology

In this paper, we focus on the state and parameter identification problem of a hydrodynamical system. This system is modeled as a linearized water wave equation(LWWE), a hyperbolic state-space model coupled with a Laplace equation. We assume that the wave elevation at two distinct points is the only measurement of water waves. We show that the state and water depth can be reconstructed from this point measurement records. The identification problem is recast as an optimization problem over an infinite-dimensional space. We propose the adjoint method-based identification algorithm to generate an estimated state and water depth. We then performed a numerical simulation to show the effectiveness of our designed algorithm by comparing it with existing studies.

关键词： linearized water wave equation (LWWE) point observation state estimation parameter identification adjoint method numerical simulation

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Frame analysis based real time related indicators measurement of industrial ethernet Powerlink 4

Frame analysis based real time related indicators measuremen...

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4th International Academic Exchange Conference on Science and Technology Innovation, IAECST 2022

作者： Wang, Jian Xie, Chuang Dong, Ce Chinese Academy of Sciences ShenYang Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing China

ISBN: (纸本)9798350320008

The protocol Powerlink which is one of real-time Ethernet protocols included in the Standard IEC FDIS61784-2, has been widely used for the communication of both IO devices in industrial fields and drives for motor control applications to provide deterministic data transmission. When the Powerlink network is running in the industrial field environment, the online measurement of time related indicators is an appropriate method to evaluate the performance of the network in real time and detect communication faults between devices. In this paper, several time related indicators are proposed and analyzed to estimate the real time performance of the network when all devices get into the operate state. Further more, an efficient method to measure the proposed indicators based on frame analysis is presented and implemented on a PC-based monitor station that stores all the frames which transfer in the network and contain timestamp added by an FPGA-based probe. The measurement method is tested on a real network consisting of one master node and two slave nodes, and some experimental results are presented. © 2022 IEEE.

关键词： Digital storage

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Research on Analyzing Factors and Countermeasures of MDW Classified Collection 3

Research on Analyzing Factors and Countermeasures of MDW Cla...

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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Wang, Jingyang Liu, Ying Sun, Haojie Zou, Yutong Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang China Liaoning University School of Innovation and Entrepreneurship Shenyang China

ISBN: (纸本)9781665435178

With the rapid development and urbanization of the economy, Municipal Domestic Waste (MDW) pollution is getting worse, the total amount of MDW is increasing year by year. As the basis of the effective use, the study of MDW classified collection has drawn more and more attention. In this paper, through the comprehensive analysis of impact factors of MDW classified collection, we established the indication system which can affect the MDW classified collection with the ISM - ANP method. We find the most important factor by index assignment. Furthermore, we put forward countermeasures to promote MDW classified collection. © 2021 IEEE.

关键词： Pollution Indexes Artificial intelligence

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Smart Plant Application of Autonomous Decentralized systems with the Introduction of Edge Nodes 15

Smart Plant Application of Autonomous Decentralized Systems ...

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15th International Conference on Advanced Computer Theory and Engineering, ICACTE 2022

作者： Wang, Jingyang Zou, Tao Yang, Zhijia Wang, Hongrui Key Laboratory Of Networked Control System Institutes For Robotics And Intelligent Manufacturing Shenyang Institute Of Automation Chinese Academy Of Sciences Shenyang China Guangzhou University College Of Mechanical And Electrical Engineering Guangzhou China State Key Laboratory Of Robotics Key Laboratory Of Networked Control System Institutes For Robotics And Intelligent Manufacturing Shenyang Institute Of Automation Chinese Academy Of Sciences Shenyang China University Of Chinese Academy Of Sciences Beijing China

ISBN: (数字)9781665481809

ISBN: (纸本)9781665481809

This paper illustrates the application of an autonomous decentralized system introducing edge nodes in a smart factory. The nodes include atomic nodes, the most fundamental autonomic units constituting an autonomous decentralized system that are capable of independently extracting information from the data field and processing that information internally and simultaneously transmitting the processing results and other internal information to the data field proactively in a broadcast mode, where the transmitted information circulates in the data field. The group-based data field enables the sharing of information by atomic nodes. Grouped management nodes are the managers of the whole group, and edge nodes are the terminal intelligent control units of an intelligent autonomous decentralized system. Improvements in system decentralization, fault tolerance characteristics and flexibility of the system can lead to homogenization, autonomous control and autonomous coordination in complex manufacturing environments, as well as excellent online fault tolerance, online expansion and online maintenance of the system. In addition, it enhances the ever-changing and evolving control requirements by deconstructing the complexity in the system. © 2022 IEEE.

关键词： Fault tolerance

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Analysis and diagnosis system for various industrial network protocols 6

Analysis and diagnosis system for various industrial network...

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6th International Conference on Electronic Information Technology and Computer Engineering, EITCE 2022

作者： Wang, Jian Jin, Ni Key Laboratory of Networked Control System Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences LiaoNing ShenYang China

ISBN: (纸本)9781450397148

For a comprehensive and systematic analysis of the communication quality in the industrial field, it is important for manufacturing enterprises to study effective diagnosis and evaluation methods and develop software tool to meet the actual needs of industrial communication networks for high quality, rapid diagnosis and positioning of anomalies. By analyzing the characteristics of various industrial network protocols, this paper studies the measurement methods of the key indicators of the real-time performance of industrial communication networks and the methods of communication anomaly diagnosis, and on this basis, designs and implements the analysis and diagnosis system for various industrial network protocols. © 2022 Association for Computing Machinery.

关键词： Quality control

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A novel fault classification method based on neural network in smart grid

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International Journal of Electrical Engineering 2018年第1期25卷 1-7页

作者： Zhang, Tong Sun, Lanxiang Liu, Jianchang Yu, Haibin College of Information Science and Engineering Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System CAS Shenyang China University of Chinese Academy of Sciences Beijing China

This paper presents a back propagation (BP) neural network method to identify fault types and phases in the smart grid with renewable sources. A fault classification method based on the BP neural network is used to identify patterns of voltage and current measured with phasor measurement unit (PMU). The voltage and current values are decomposed, and then they are used as the input matrix of the BP neural network, which identifies the fault type and fault phasor. All the common short-circuit faults occurred are analyzed, BP neural network method is proposed for fault classification in a power active distribution network. Simulation results show feasibility and usefulness of the BP neural network method, which provides good classification performances.

关键词： Smart power grids

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A comparative study of two data reduction methods for steel classification based on LIBS

A comparative study of two data reduction methods for steel ...

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International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

作者： Kong, Hai Yang Sun, Lan Xiang Hu, Jing Tao Xin, Yong Cong, Zhi Bo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China CAS Key Laboratory of Networked Control System Shenyang China

ISBN: (纸本)9783038352464

Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel classification. Two methods were used to reduce dimensions: the first is to select characteristic lines of elements contained in the samples manually and the second is to do principal component analysis (PCA) of original spectra. Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples. The results show that, the better result can be achieved by selecting peak lines manually, but this solution needs much priori knowledge and wastes much time. The principal components (PCs) of original spectra were utilized as the input of artificial neural networks can also attain a good result nevertheless and this method can be developed into an automatic solution without any priori knowledge. © (2014) Trans Tech Publications, Switzerland.

关键词： Neural networks

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POWERLINK Communication Fault Detection Method Based on Data Frames Sequence Analysis

POWERLINK Communication Fault Detection Method Based on Data...

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2022 International Conference on Signal Processing and Communication Technology, SPCT 2022

作者： Wang, Jian Xie, Chuang Dong, Ce Key Laboratory of Networked Control System ShenYang China Shenyang institute of automation Chinese academy of sciences ShenYang China Institutes for Robotics and Intelligent Manufacturing ChineseAcademy of Sciences ShenYang China

ISBN: (纸本)9781510664333

Fault diagnosis, location and maintenance of industrial networks are extremely important components of network management, which can effectively improve network availability, shorten network failure time, help improve network performance, satisfy network service quality and ensure network security. This paper proposes a communication fault detection method based on the analysis of communication protocol message flow for POWERLINK, an industrial Ethernet protocol widely used in the field of industrial communication at present. By monitoring network status and building fault judgment logic, it can analyze the rationality of message sequence and protocol consistency in the message flow so as to effectively detect the dynamic upper layer protocol fault in the network and determine the location of the fault. In order to verify the effectiveness of this method, we designed a POWERLINK network communication fault diagnosis system, which can correctly identify and analyze the wrong data frame sequence in the data message flow and finally achieve the diagnosis and location of POWERLINK network communication fault. © 2023 SPIE.

关键词： Fault detection

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