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

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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Condition Monitoring and Fault Diagnosis of Coal Mill Based on Mechanism Modeling Simulation and D-S Evidence Fusion

Condition Monitoring and Fault Diagnosis of Coal Mill Based ...

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第34届中国控制与决策会议

作者： Tian Qiu Yuchen Yang Yue Guo Xiaofeng Chen Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University School of Control and Computer Engineering North China Electric Power University North China Electric Power Research Institute Co. Ltd

The coal mill is the key equipment of powdering system in coal-fired power plants,whose working state has an important influence on the combustion stability of boiler as well as the operation ***,owing to the lack of real fault data,it is difficult and not available enough to support and achieve the research of data-driven fault diagnosis ***-type medium-speed coal mill was selected as the research object in this ***,the existing mechanism model had been further improved to make it more effective and reasonable,and we used it to respectively simulate the typical operating data of the normal condition and three fault *** paper transformed the problem of fault diagnosis into the measurement of similarity between the testing and the typical fault samples,taking the numerical distance and changing trends into account,and adopted the concept of similarity function and transformed the results into the expression and calculation of probability level,which was calculated as the diagnostic evidence of individual parameters under the same time scale.D-S evidence theory was employed to fuse the individual evidence between multiple parameters evidence,getting the fusion of multiparametric evidence as to the final diagnosis ***,the experiments verified the high accuracy of the proposed diagnostic method,and the similarity function has high rationality and feasibility.

关键词： Coal Mill system process Fault Dynamic Mathematical Model Similarity Function D-S Evidence Fusion Theory Fault Diagnosis

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A compensation method for the packet loss deviation in system identification with event-triggered binary-valued observations

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Science China(Information Sciences) 2020年第12期63卷 266-268页

作者： Jing-Dong DIAO Jin GUO Changyin SUN School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education

Dear editor,With the rapid development of network and communication technology, group systems interrelated in terms of both time and space are commonly encountered, such as sensor networks, multi-agent systems, and sm... 详细信息

关键词： system identification event-triggered binary-valued observations packet loss convergence

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Deep self-organizing map neural networks for plantar pressure image segmentation employing marr-hildreth features

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International Journal of Ambient Computing and Intelligence 2021年第4期12卷 1-21页

作者： Han, Jianlin Wang, Dan Li, Zairan Shi, Fuqian Glorious Sun Guangdong School of Fashion Huizhou University Huizhou China Huidong Shoes Science and Technology Innovation Center Huizhou China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University China Wenzhou Polytechnic Wenzhou China Rutgers Cancer Institute of New Jersey New Brunswick United States

Using the plantar pressure imaging analysis method to realize the optimization design of shoe last is still relatively preliminary. The analysis and utilization of imaging data still have problems such as single processing, incomplete information acquisition, and poor processing model robustness. A deep self-organizing map neural network based on Marr-Hildreth filter (dSOM-wh) is developed in this research. The structure and learning algorithms were optimized by learning vector quantization (LVQ) and count propagation (CP). As a kind of Marr-Hildreth filter, Laplacian of Gaussian (LoG) was developed for the preprocessing. The proposed method performed high effectiveness in accuracy (AC) (92.88%), sensitive (SE) (0.8941), and f-measurement (F1) (0.8720) by comparing with ANN, CNN, SegNet, ResNet, and pre-trained inception-v neural networks. The classification-based plantar pressure biomedical functional zoning technologies have potential applications in the comfort shoe production industry. Copyright © 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

关键词： Image segmentation

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Research on Model Based Optimization of Thermal Management for Pure Electric Vehicles Under Low Temperature Operating Conditions

SSRN

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SSRN 2024年

作者： Zhang, Chunfeng Wan, Yilong Yang, Yanhong Lin, Qiao Xihua University Chengdu610039 China Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province Chengdu610039 China Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan Chengdu610039 China Sichuan Industrial School of Intelligent and New Energy Automobile Chengdu610039 China

A reasonable and effective high-precision thermal management system can alleviate the significant increase in energy consumption and decrease in range of pure electric vehicles under low-temperature conditions. This article establishes a subsystem model of the vehicle thermal management system based on common thermal management system architectures, including vehicle power system, battery motor, compressor, condenser, heat exchanger, chiller and heater models. A vehicle thermal management system under development was built using a subsystem model, and the effectiveness of the model was verified by comparing the collaborative simulation data in Amesim and Simulink with the actual vehicle validation data under low-temperature conditions. From both simulation and experimental data, it was found that the energy consumption of PTC exceeds 30% under low temperature conditions. Therefore, a model-based optimization study on vehicle thermal management was conducted to address the high energy consumption of PTC. The optimization results show that the ambient temperature threshold strategy has increased the driving range by 3.37% to 4.85% compared to the original strategy;The thermal management system architecture with a waste heat recovery motor has increased the range from 268.07 km to 285.14 km, an increase of 6.37%. Prove the effectiveness and universality of the model. © 2024, The Authors. All rights reserved.

关键词： Temperature control

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Characteristics of the partial discharge in oil-paper cavity under the valve voltage waveform of converter transformer 3

Characteristics of the partial discharge in oil-paper cavity...

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3rd International Conference on Electrical Materials and Power Equipment, ICEMPE 2021

作者： Sun, Weidong Yang, Lijun Xu, Zhiren Wei, Yiheng Ministry of Education College of Automation Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Internet of Things and Networked Control Chongqing China Chongqing University State Key Laboratory of Power Transmission Equipment System Security and New Technology Chongqing China

ISBN: (纸本)9781665418409

In this paper, the partial discharge (PD) in oil-paper insulation cavity is conducted under the voltage of AC,YΔ connection and Y/Y connection, respectively. The low-amplitude and high-repetition PD under the AC voltage is observed, the high-amplitude and a low-repetition PD is acquired under the given valve voltages. The discharge mainly occurs at the rising edge of the valve voltage waveforms. The Qmax of the discharge of YΔ and Y/Y connections is 2 and 2.5 times the Qmax under the AC voltage, respectively. The average discharge Qmean of Y/Δ and Y/Y connections is 3 and 2 times Qmean obtained under the AC voltage, respectively. The total discharge Qtatol of both valve voltage waveforms is higher than that under the AC voltage. The test results also show that the PD is severely affected by the voltage waveform as the voltage distortion is observed in the experiment. This work may provide a reference for the improvement of insulation design and the factory test of converter transformers. © 2021 IEEE.

关键词： Partial discharges

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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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Optimization and Verification of Thermal Management system for Pure Electric Vehicle Based on Multi Task Model

SSRN

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SSRN 2023年

There are many subsystems that require thermal management for pure electric vehicles, and their thermal impact mechanism is complex. Establishing a multi task model and comprehensively optimizing the parameters and architecture of the vehicle thermal management system is of great significance for reducing energy consumption and increasing driving range of pure electric vehicles. Taking the opportunity to participate in the development of a pure electric vehicle in a certain company, Firstly, this article constructs a vehicle dynamics model and a component model of the vehicle thermal management system based on the actual vehicle parameters, vehicle dynamics theory, and bench test data. Using the national standard CLTC-P cycle working condition as the testing standard, the accuracy of the model is verified, and a control strategy for the thermal management system is designed to complete the dynamic model construction of the vehicle thermal management system;Secondly, based on GB/T 18386.1-2021, the energy flow and temperature data were analyzed and compared to verify that the constructed model has high accuracy in terms of energy consumption performance of the entire vehicle under low temperature conditions and temperature control of key components;Finally, the energy consumption problem of PTC heating the battery pack is optimized and simulated using the ambient temperature threshold strategy, as well as the thermal management architecture. The results show that under this strategy, the driving range of the entire vehicle has been improved in low-temperature economic tests;The optimized thermal management architecture is more energy-efficient. © 2023, The Authors. All rights reserved.

关键词： Temperature control

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Optimization and Verification of Thermal Management system for Pure Electric Vehicle Based on Multi Task Model

SSRN

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SSRN 2023年

关键词： Temperature control

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Distributed Optimization by Network Flows with Spatio-Temporal Compression

arXiv

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arXiv 2024年

作者： Ren, Zihao Wang, Lei Yi, Xinlei Wang, Xi Yuan, Deming Yang, Tao Wu, Zhengguang Shi, Guodong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China College of Electronics and Information Engineering Tongji University China School of Electrical Engineering Telecommunications University of New South Wales Sydney Australia School of Automation Nanjing University of Science and Technology China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University China Australian Centre for Robotics School of Aerospace Mechanical and Mechatronic Engineering The University of Sydney SydneyNSW2006 Australia

Several data compressors have been proposed in distributed optimization frameworks of network systems to reduce communication overhead in large-scale applications. In this paper, we demonstrate that effective information compression may occur over time or space during sequences of node communications in distributed algorithms, leading to the concept of spatio-temporal compressors. This abstraction classifies existing compressors as spatio-temporal compressors, with their effectiveness described by constructive stability criteria from nonlinear system theory. Subsequently, we apply these spatio-temporal compressors to standard continuous-time consensus flows and distributed prime-dual flows, establishing conditions ensuring convergence. Additionally, we introduce a novel observer-based distributed primal-dual continuous flow integrated with spatio-temporal compressors, which provides broader convergence conditions. These continuous flows achieve exponential convergence to the global optimum when the objective function is strongly convex and can be discretized using Euler approximations. Finally, numerical simulations illustrate the versatility of the proposed spatio-temporal compressors and verify the convergence of algorithms. Copyright © 2024, The Authors. All rights reserved.

关键词： Stability criteria

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