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Remaining Useful Life Prediction for a Multi-stack Solid Oxide Fuel Cell System with Degradation Interactions

CSEE Journal of Power and Energy Systems 2022年第4期8卷 1207-1214页

作者： Xiaojuan Wu Liangfei Xu Yang Huang Danan Yang Junhao Wang Houjun Wang Xi Li School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 610054China State Key Lab of Automotive Safety and Energy School of Vehicle and MobilityTsinghua UniversityBeijing 100084China School of Artificial Intelligencei and Automation Key Laboratory of Image Processing and Intelligent Control of Education MinistryHuazhong University of Science and TechnologyWuhan 430074China

Due to the constraints of manufacturing and materials,high-power plants cannot rely on only one solid oxide fuel cell stack.A multi-stack system is a solution for a highpower system,which consists of multiple fuel cell stacks.A short lifetime is one of the main challenges for the fuel cell before largescale commercial applications,and prognostic is an important method to improve the reliability of fuel *** from the traditional prognostic approaches applied to single-stack fuel cell systems,the key problem in multi-stack prediction is how to solve the correlation of multi-stack degradation,which can directly affect the accuracy of *** response to this difficulty,a standard Brownian motion is added to the traditional Wiener process to model the degradation of each stack,and then the probability density function of the remaining useful life(RUL)of each stack is ***,a Copula function is adopted to reflect the dependence between life distributions,so as to obtain the remaining useful life for the whole multi-stack system.1 The simulation results show that compared with the traditional prediction model,the proposed approach has a higher prediction accuracy for multi-stack fuel cell systems.

关键词： Degradation interaction multi-stack remaining useful life(RUL) solid oxide fuel cell(SOFC)

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Design of Composite Two-Channel Disturbance Estimation Adaptive controller for Backlash-Like Hysteretic Nonlinear Systems

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Journal of Shanghai Jiaotong University (Science) 2025年 1-11页

作者： Liu, Qunpo Li, Jiakun Fei, Shumin Bu, Xuhui Naohiko, Hanajima School of Electrical Engineering and Automation Henan Polytechnic University Henan Jiaozuo454003 China Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment Henan Jiaozuo454003 China School of Automation Southeast University Nanjing210096 China College of Information and Systems Muroran Institute of Technology Hokkaido Muroran050-8585 Japan

For nonlinear systems with backlash-like hysteresis characteristics and external disturbance, a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy of the system. The unmodeled hysteresis and external disturbances are treated as lumped uncertainties, which are approximated by radial basis neural network and disturbance estimator respectively. These approximations are then linearly fused to form the compensation term for the lumped uncertainty. The second order linear filter is employed to estimate multiple differential terms, which are integrated into the controller design and dynamic system state updates, thereby reducing computational complexity. A weighted fusion mechanism is implemented for the two channels, and the adaptive update rate for each channel is determined based on the deviation between the lumped uncertainty reference value and the output of each channel. To address the challenges posed by the discontinuity of deviation and maintain system stability, the first-order low-pass filter is applied to smooth the deviation, enhancing system robustness. A trajectory tracking simulation of a single-input single-output nonlinear system is conducted to compare the performance of the proposed controller with baseline controllers, demonstrating the effectiveness of the composite two-channel disturbance estimation adaptive controller. (Figure presented.) © Shanghai Jiao Tong University 2025.

关键词： Self tuning control systems

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Efficient Fabric Defect Detection Algorithm Based on Improved YOLOv5

Efficient Fabric Defect Detection Algorithm Based on Improve...

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2023 China automation Congress, CAC 2023

作者： Tian, LiHua Wang, AoZe Sun, ZhiGang Xiao, Li Huazhong University of Science and Technology Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education of China School of Artificial Intelligence and Automation Wuhan China

ISBN: (纸本)9798350303759

In order to address the issues of real-time performance and the low dependency between feature channels in fabric defect detection networks, this paper proposes the ESE-YOLOv5 network based on YOLOv5. Firstly, to address the relative redundancy of the neck detection network feature channels, a relatively lightweight and efficient convolution module is adopted to ensure accuracy while reducing computation and parameter volume. Furthermore, the Efficient Squeeze-Excitation (ESE) module is introduced into the backbone to optimize the dependency of feature channels, which enhances the model's feature extraction capacity and improves detection accuracy. Experimental results show that compared to YOLOv5, the proposed ESE-YOLOv5 model reduces computation and parameter volume while improving accuracy, meeting the needs of fabric defect detection for recognizing fabric defects that have similar characteristics to the background while maintaining real-time performance. © 2023 IEEE.

关键词： Feature extraction

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Research on Pear Detection Algorithm Based on Improved YOLOv7 24

Research on Pear Detection Algorithm Based on Improved YOLOv...

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4th International Joint Conference on Robotics and Artificial Intelligence, JCRAI 2024

作者： Hu, Xiaomei Zhao, Longjie Tong, Shanggao Chen, Yi The Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shanghai Triowin Intelligent Machinery Co. Ltd. Shanghai China

ISBN: (纸本)9798400710100

In pear-picking, the method of pear detection directly affects the accuracy and efficiency of the picking process. To address the issue of low detection accuracy in orchards, this paper proposes the ViT-YOLOv7 pear detection model. First, a backbone network based on the Vision Transformer is designed to extract features of the fruits in complex environments using convolution and self-attention mechanisms. Next, a lightweight feature fusion network is constructed by introducing partial convolution to replace traditional convolution operations. Finally, to address the issues of misidentification and missed detection caused by fruit occlusion, a decoupled detection head is designed, and a no-anchor strategy is adopted for fruit detection. Experimental results show that compared to YOLOv7-Tiny, the ViT-YOLOv7 model can accurately identify and locate pears with high efficiency, ensuring that picking operations are performed quickly and precisely, thereby improving overall picking efficiency. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Pear Detection

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Solar evaporation for simultaneous oil-water separation and electricity generation with Janus wood-based absorbers

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Frontiers of Environmental Science & Engineering 2024年第2期18卷 13-23页

作者： Yue Yang Ze Fu Qi Zhang Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse School of Environmental and Biological EngineeringNanjing University of Science&TechnologyNanjing 210094China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced MicrostructuresCollege of Engineering and Applied SciencesKey Laboratory of Intelligent Optical Sensing and Manipulation(Ministry of Education)Jiangsu Key Laboratory of Artificial Functional MaterialsNanjing UniversityNanjing 210093China

Oily wastewater from ocean oil spills endangers marine ecosystems and human health. Therefore, developing an effective and sustainable solution for separating oil-water mixtures is urgent. Interfacial solar photothermal evaporation is a promising approach for the complete separation of two-phase mixtures using only solar energy. Herein, we report a carbonized wood-based absorber with Janus structure of comprising a hydrophobic top-layer and an oleophobic bottom-layer for simultaneous solar-driven oil-water separation and electricity generation. Under sunlight irradiation, the rapid evaporation of seawater will induce a separation of oil-water mixtures, and cause a high salt concentration region underlying the interface, while the bottom “bulk water” maintains in a low salt concentration, thus forming a salinity gradient. Electricity can be generated by salinity gradient power. Therefore, oil-water separation efficiency of > 99% and derived extra electricity power of ~0.1 W/m2 is achieved under solar radiation, demonstrating the feasibility of oil-water separation and electricity production synchronously directly using solar energy. This work provides a green and cost-effective path for the separation of oil-water mixtures.

关键词： Oily wastewater Carbonized wood Salinity gradient Electricity generation Solar irradiation

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Recovering unknown topology in a two-layer multiplex network:One layer infers the other layer

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Science China(Technological Sciences) 2022年第7期65卷 1493-1505页

作者： LIU Hui SHANG ZhiCheng REN ZiYi LI Yan ZENG ZhiGang LU JunAn School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074China School of Mathematics and Statistics Wuhan UniversityWuhan 430072China

There have been increasing interests in studying multiplex dynamical networks *** paper focuses on topology identiflcation of two-layer multiplex networks with peer-to-peer interlayer *** a two-layer network model in which different layers have different coupling patterns,we propose novel methods to recover unknown topological structure of one layer,using the information of the other layer known as a *** proposed methods make full use of the measured evolutional states of the multiplex network itself,and treat the layer with a known structure as an auxiliary layer which is designed to identify the unknown topological *** with the traditional synchronization-based identiflcation method,the proposed methods are in no need of constructing an additional auxiliary network to identify the unknown topological layer,and thus greatly reduce the cost of topology ***,numerical simulations validate the effectiveness of the proposed methods.

关键词： multiplex network synchronization topology identiflcation

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Dynamic Event-Triggered Leader-Following Consensus of Multiagent Systems under DoS Attacks 43

Dynamic Event-Triggered Leader-Following Consensus of Multia...

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43rd Chinese control Conference, CCC 2024

作者： Ma, Ji Chen, Xiangyong Wu, Yue Sun, Ji Liu, Jianhua Linyi University The Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong School of Automation and Electrical Engineering Linyi276005 China

ISBN: (纸本)9789887581581

In this paper, the leader-following consensus of multi-agent systems (MASs) under denial-of-service (DoS) attacks over undirected networks is studies. First, introduce an estimator under DoS attacks to design a dynamic event-triggered communication protocol, which avoids continuous communication between agents. Then, with the presence of the estimator between the triggering instants can reduce the state shift. In contrast to the conventional method, the existence of dynamic threshold need fewer triggering times. Under this control strategy, the systems only need the states in triggering instants according to estimated states. Finally, verify the effectiveness of the proposed approach by a simulation example. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Denial-of-service attack

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Unified Addressing Algorithm for Tasks in Cloud control Systems 41

Unified Addressing Algorithm for Tasks in Cloud Control Syst...

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第41届中国控制会议

作者： Guan Wang Yufeng Zhan Yuanqing Xia Liping Yan Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information Science and Engineering University of ZaoZhuang

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the rapid development of cloud computing and control theory,a new paradigm of networked control systems named cloud control systems has been proposed to satisfy the requirements of large-scale and complex *** is critical to manage large-scale tasks with personalized needs on the large number of heterogeneous ***,current TCP/IPbased addressing approach does not consider the runtime constraints of tasks,resulting highly concurrent service search,and communication between tasks will become the system *** this paper,we propose a task property encoding method which takes multi-dimensional properties into *** on the proposed encoding method,we design a uniform addressing method for tasks in the ***,we experimentally demonstrate the effectiveness of task property encoding,and the unified addressing method for tasks is more effective than other methods in the case of high task concurrency.

关键词： Cloud control systems address encoding cloud-edge-device cooperation

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Research on Fault Arc Detection Method Based on Multivariate Criterion 8

Research on Fault Arc Detection Method Based on Multivariate...

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8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Guo, Mengqian Chen, Li'An Jiang, Yongxin Huang, Bin Xiamen University of Technology School of Electrical Engineering and Automation Xiamen China Xiamen University of Technology School of Electrical Engineering and Automation Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350328813

Aiming at the problem of misjudgment according to the detection of single fault arc characteristics, in this paper, the Matlab/Simulink platform was used to build a fault arc circuit simulation model for linear, nonlinear and mixed loads, according to the zero-break time and fault characteristics of high-frequency harmonics of fault arc current obtained by simulation results, a fault arc detection method based on zero-break time scale coefficient based on zero-break feature and multivariate criterion based on DB3 wavelet decomposition detail component scale coefficient was proposed. The simulation results show that the proposed method is effective for identifying linear loads, nonlinear loads and partial mixed loads recommended in GB14287.4. © 2023 IEEE.

关键词： arc fault DB3 wavelets multivariate criterion

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Research on synchronization control of 5-dimensional hyperchaotic systems and its application in image encryption 5

Research on synchronization control of 5-dimensional hyperch...

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5th International Conference on Frontiers Technology of Information and Computer, ICFTIC 2023

作者： Ouyang, Sujian Sun, Yuan Zeng, Huiquan Wang, Qinan Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering & Automation Xiamen China Xiamen University of Technology School of Electrical Engineering & Automation Xiamen China

ISBN: (纸本)9798350309034

In the information age, advances in decryption technology have made it easier for image information to be stolen, tampered with, and subjected to other malicious actions during the information transmission process. In this study, a hyperchaotic time series based on fuzzy brain emotional learning controller is proposed to realize synchronizttion, and the chaotic masking technology is applied to encrypt and decrypt the image. Simulation results demonstrate that the FBEL controller can attain a high level of synchronization accuracy for the hyperchaotic system. Meanwhile, security test of encrypted images is carried out through distribution histogram, correlation coefficient analysis of adjacent pixels, ciphertext information entropy analysis, etc. Theoretical analysis and simulation results demonstrate that, in comparison to traditional image encryption technology, this approach offers superior security performance and fulfills the requirements of secure communication. © 2023 IEEE.

关键词： Chaotic synchronization Image encryption Secure communication

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