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7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023

作者： Chen, Yang Tan, Yang Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China

ISBN: (纸本)9781450398633

Although depth completion has achieved remarkable performance relying on deep learning in recent years, these models tend to suffer a performance degradation when exposed to new environments. Online adaptation, where the model is trained in a self-supervised manner during testing, seems a promising technique to alleviate the drop. However, continuous online adaptation may cause the model to over-adapt and miss the optimal parameters, resulting in oscillation or even degradation of the model performance, in addition to wasting computational resources. Therefore, this paper proposes an adaptive online adaptation framework to make model adaptively trigger online adaptation when encountering novel environments and stop adaptation when model has adapted to the current environment. In detail, we design a trigger to detect the familiarity of model to the current scenario based on image similarity and then launch online adaptation when the scenario is novel. Besides, we elaborate a stopper to monitor the error between prediction and depth input and convert online adaptation to inference when online adaptation does not bring improvement for model. Experimental results demonstrate that our method improves the accuracy of model prediction and increases average running speed of the model on each frame in online adaptation. © 2023 ACM.

关键词： Deep learning

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An Adaptive Event-Triggered Secondary Regulation Strategy for Microgrids with Loss of Effectiveness Actuator Faults 49

An Adaptive Event-Triggered Secondary Regulation Strategy fo...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Qiu, Xuechao Wang, Xiangyu Niu, Dan Wang, Xiangyu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9798350331820

In this paper, an adaptive event-triggered secondary regulation strategy is investigated for microgrids with loss of effectiveness actuator faults. In order to deal with unknown loss of effectiveness actuator faults, a distributed secondary regulation strategy is proposed, which achieves voltage and frequency regulations, as well as power sharing. Meanwhile, to save system resources and relieve the communication burden, an adaptive event-triggered mechanism is designed. Finally, some simulation results are given to validate the proposed strategy, which indicates that the proposed strategy reduces the controller updates and increases the reliability of system. © 2023 IEEE.

关键词： Actuators

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System for Determining the Shape of the Wavefront of a Nonsinusoidal Periodic Acoustic Wave 17

System for Determining the Shape of the Wavefront of a Nonsi...

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17th International Conference on engineering of Modern Electric Systems, EMES 2023

作者： Codoban, Adrian Coroiu, Laura Gergely, Eugen Sarosi, Jozsef University of Oradea Department Control Systems Engineering and Management Oradea Romania University of Szeged Department of Mechatronics and Automation Szeged Hungary

ISBN: (纸本)9798350310634

The shape of the wavefront is important for the most realistic reproduction of the acoustic wave. In acoustics, the wave front (or wave surface) is defined as the totality of points in the space of the propagating medium that have the same instantaneous elongation amplitude. In the ideal case, in a homogeneous and isotropic propagation medium without other disturbances, the wave has a spherical symmetry, i.e. the shape of the wavefront is circular and at large distances from the wave source, due to dispersion, the shape of the wavefront can be considered plan. In practice, however, due to the multiple component harmonics, reflections and possible summations of the primary acoustic wave, the elongation has a non-sinusoidal shape, and the wavefront may have an irregular random shape. Moreover, if the source of the wave or bodies from which it is reflected are in motion, the shape of the wavefront may even be variable in time. The paper presents a method for determining the shape of the wave front of a non-sinusoidal periodic plane acoustic wave, resulting from the addition of several harmonic components, reflected waves, etc. It uses an array of omnidirectional capacitive microphones arranged in line, at equal distances between them. At each of the microphones, the acoustic wave is captured out of phase depending on the position of the microphone in space and the shape of the wave front. These phase shifts placed next to each other give an image of the shape of the wavefront captured by the microphone system. The method presented in this paper reproduces sounds very realistically and can be used in Active Noise Cancel systems, in open spaces, with one or more mobile noise sources. One of the benefits is the increase in hearing comfort in noisy environments. Another is to record sounds with high fidelity. © 2023 IEEE.

关键词： Wavefronts

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Sustainable Mining in the Era of Artificial Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 1-4页

作者： Long Chen Yuting Xie Yutong Wang Shirong Ge Fei-Yue Wang IEEE the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of SciencesBeijing 100190China the National Laboratory of Pattern Recognition at the Institute of Automation and Waytous Ltd.China the School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275GuangdongChina the School of Mechanical Electronic and Information Engineering China University of Mining and Technology BeijingBejing 100083China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China

The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread ***-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.

关键词： Sustainable mining consequences

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Intelligent On-Line System for Monitoring Technical Condition of High-Voltage Cable Couplings

Intelligent On-Line System for Monitoring Technical Conditio...

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2024 International Russian Smart Industry Conference, SmartIndustryCon 2024

作者： Gasiyarov, Vadim R. Voronin, Stanislav V. Radionov, Andrey A. Lyubimov, Ivan V. Evdokimov, Sergey A. Khramshin, Vadim R. Moscow Polytechnic University Department of Automation and Control Moscow Russia South Ural State University Department of Mechatronics and Automation Chelyabinsk Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (纸本)9798350395044

The article provides the characteristics of the end cable couplings of the closed switchgear 110 kV at the electric steelmaking workshop of the metallurgical plant. The functions of the continuous technical condition monitoring system are substantiated, including continuous temperature monitoring and on-line registration of partial discharges in the insulation. The first function provides monitoring of the operational load, and the second has the maximum sensitivity for diagnosing defect propagation. A functional diagram of the developed intelligent on-line system for monitoring technical condition with digital signal transmission is provided. The choice of sensors and processor unit is justified. The authors consider the temperature control system of high-voltage equipment 'WDM-T', including a wireless sensor and an information receiver. The results of monitoring the thermal regime are provided, the advantages of partial discharge analysis are pointed out. The temperature trends of the end couplings included in the cable line phases are considered. The system is implemented on the closed switchgear 110 kV end couplings, its long-term operation has confirmed the effectiveness of technical condition monitoring. The developed system may be a component of an on-line cyberphysical system for monitoring the condition of high-voltage equipment in the electric steelmaking workshop. © 2024 IEEE.

关键词： Electric lines

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Consistency Evaluation of IoT Smart Meter's Metering Accuracy considering Ambient Temperature and Load Current 5

Consistency Evaluation of IoT Smart Meter's Metering Accurac...

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5th International Conference on System Reliability and Safety engineering, SRSE 2023

作者： Liu, Weiming Chen, Cen Wang, Zhifei Zhang, Xiaosheng Zhai, Guofu Zheng, Wei Engineering & Automation Harbin Institute of Technology Department of Electrical Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350305944

The energy meter is a widely used digital-analog electronic system. However, metering accuracy is inevitably influenced by factors such as ambient temperature, load current, and component tolerance. This paper introduces a method utilizing digital twin models to analyze the consistency of metering accuracy in a new single-phase smart meter prototype. An electro-thermal coupling model incorporating a temperature compensation algorithm is established, and the metering accuracy is solved using a surrogate model. By employing the Monte Carlo method, a batch of product samples is generated to determine the impact of varying ambient temperature and load current conditions on the metering accuracy's consistency within the maximum operating range. The results of this study provides a valuable foundation for robust design and reliability optimization of the energy meter. © 2023 IEEE.

关键词： Smart meters

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Improved frequency modeling and solution for parallel liquid-filled pipes considering both fluid-structure interaction and structural coupling

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Applied Mathematics and Mechanics(English Edition) 2022年第8期43卷 1269-1288页

作者： Xumin GUO Chunliang XIAO Hui MA Hui LI Xufang ZHANG Bangchun WEN School of Mechanical Engineering and Automation Northeastern UniversityShenyang110819China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Northeastern UniversityShenyang110819China

The dynamic characteristics of a single liquid-filled pipe have been broadly studied in the previous *** parallel liquid-filled pipe(PLFP)system is also widely used in engineering,and its structure is more complex than that of a single ***,there are few reports about the dynamic characteristics of the ***,this paper proposes improved frequency modeling and solution for the PLFPs,involving the logical alignment principle and coupled matrix *** established model incorporates both the fluid-structure interaction(FSI)and the structural coupling of the *** validity of the established model is verified by modal *** effects of some unique parameters on the dynamic characteristics of the PLFPs are *** work provides a feasible method for solving the FSI of multiple pipes in parallel and potential theoretical guidance for the dynamic analysis of the PLFPs in engineering.

关键词： parallel liquid-filled pipe(PLFP) dynamic analysis improved frequency modeling and solution fluid-structure interaction(FSI) structure coupling

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Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 231-239页

作者： Yahui Liu Bin Tian Yisheng Lv Lingxi Li Fei-Yue Wang the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190 IEEE the Transportation and Autonomous Systems Institute(TASI)and the Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis(IUPUI)Indianapolis 46202 USA

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.

关键词： Content-based Transformer deep learning feature aggregator local attention point cloud classification

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Pulse Signal Peak Detection Algorithm Based on Improved Slope Method and Partitioning Method 8

Pulse Signal Peak Detection Algorithm Based on Improved Slop...

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8th International Conference on automation, control and Robotics engineering, CACRE 2023

作者： Lu, Guangda Cai, Wei Guo, Tinghang Zhao, Zhuangzhuang Guo, Xiaoqian Sun, Wenhao Tianjin University of Technology and Education Tianjin Keylaboratory of Information Senging and Intelligent Control Automation and Electrical Engineering College Tianjin China

ISBN: (纸本)9798350302776

Chinese medicine has a long history, and pulse diagnosis can detect physiological and pathological changes in the human body. With the rise and development of artificial intelligence, the objectification and modernization of TCM has also come a long way. In the process of pulse diagnosis objectification, the extraction of feature datum points in the time domain is an indispensable step. In this paper, starting with the pulse wave time domain feature extraction method, we systematically summarize the feature point extraction methods, including single-period feature point feature extraction and multi-period feature point extraction, and then on this basis, combined with the extraction experience of the collected data, we propose an improved slope method and partition method (ISPA) for pulse wave feature extraction research. © 2023 IEEE.

关键词： Feature extraction

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Networked control Synthesis of Micro-Grid System Based on Switching Theory 42

Networked Control Synthesis of Micro-Grid System Based on Sw...

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42nd Chinese control Conference, CCC 2023

作者： Luo, Jinming Yao, Lei Xu, Sibo Wang, Hongtao Gao, Jing College of Automation Shenyang Institute of Engineering Key Laboratory of Regional Multi-energy System Integration and Control Shenyang110136 China

ISBN: (纸本)9789887581543

A large number of sensors and controllers in the micro-grid system transmit signals through the network, however, due to the physical limitations of the network bandwidth and service capacity, data transmission in the network will have delays, packet loss and time disorder, which will damage the performance of the system, and even lead to instability of the system. Therefore, in this paper, the switching fuzzy time-delay micro-grid system is established, and the Fuzzy controller of the micro-grid subsystem is designed according to the PDC method, and the switching law is designed, the asymptotic stability condition of the system is given by using the method of single Lyapunov function and convex combination, and the stability of the system is analyzed. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Asymptotic stability

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