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7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： You, Yimin Wang, Xiankun Dai, Dongyun Zhuo, Kaicai Wang, Xu School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

The current rapid development of China's power transmission and transformation industry, inflatable switchgear has excellent environmental adaptability and small size, in the transmission and distribution network has been widely used. In order to further enhance the application range of inflatable cabinets, it is important to optimize the insulation performance of miniaturized switchgear. In this paper, electrostatic field simulation of 40.5kV inflatable switchgear based on the finite element method is carried out to judge the internal electric field distribution. Simulate and analyze the potential distribution and electric field strength distribution under the operating condition of the circuit breaker of the inflatable switchgear. The simulation results show that the electric field of sulfur hexafluoride in the outer shell of the inflatable switchgear is more concentrated near the poles, and the maximum value of the electric field reaches 78.2kV/mm, which exceeds the breakdown strength of the sulfur hexafluoride medium by 9kV/mm. Subsequently, the problem of excessive localized field strength is solved by studying the effects of conditions such as the length of the metal shielding ring and the radius of the metal crimp on the shielding effect. According to the simulation data, maintaining the volume and basic layout of the existing inflatable switchgear cabinet unchanged, after adding the optimized grounded metal shielding ring, the field strength at the pole and shell can be reduced to less than 9kV/mm, which meets the insulation requirements. The research results of this paper can provide theoretical guidance for the optimal design of the insulation of inflatable switchgear. © 2024 IEEE.

关键词： Sulfur hexafluoride

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Large flexible structure vibration measurement based on machine vision 43

Large flexible structure vibration measurement based on mach...

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43rd Chinese control Conference, CCC 2024

作者： Zhu, Yuanyuan Zhang, Haibo Ning, Zhijie Guo, Yanning Zheng, Lingxi Harbin Institute of Technology Harbin150001 China Beijing Institute of Control Engineering Beijing100000 China National Key Laboratory of Space Intelligent Control Beijing100000 China

ISBN: (纸本)9789887581581

A multi-target synchronous measurement method is proposed for the vibration measurement problem of large flexible structures. Select the appropriate system hardware according to the actual measurement requirements, and the binocular camera is used to acquire the image sequence of multiple points during the vibration process. An innovative method is proposed that combines feature point matching and Maximum Intersection over Union is proposed to achieve one-to-one mapping between multiple points. The vibration information of the flexible structure is obtained by image processing and three-dimensional coordinate calculation. Compared with the results obtained by the Optitrack motion capture system. Measures vibration with a frequency of 3Hz, the relative errors of most measurements are within 5%, which meets the requirements of most vibration measurements. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Vibration measurement

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Research Progress of Human Movement Assessment System 6

Research Progress of Human Movement Assessment System

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6th Asia Symposium on Image Processing, ASIP 2024

作者： Guo, Tinghang Yin, Qianhan Li, Xiaohan Ji, Xin Qin, Zhuanping Han, Yu Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing and Intelligent Control Hexi District No. 1310 Tianjin300222 China

ISBN: (纸本)9798350376159

The working principles and methods included in the existing motion estimation techniques are classified, and the research on motion estimation in various fields at home and abroad is collected in the existing literature to investigate and analyse the application of motion estimation in different fields as well as their respective advantages and limitations. Firstly, in terms of obtaining human movement information, two approaches are generally used: wearable sensor-based and vision-based pose estimation techniques. On this basis, the current methods of motion assessment are reviewed in terms of rule-based and model-based approaches, and then, the limitations of rule-based assessment methods are discussed and analysed, and it is pointed out that, with the development of technology and the increase of demand for personalised training, model-based scoring methods are more promising in the field of motion, and they can better solve the problem of evaluating and analyses. Finally, suggestions are made for future research directions. © 2024 IEEE.

关键词： Motion estimation

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Monocular 3D Object Detection Using Depth Fusion 3

Monocular 3D Object Detection Using Depth Fusion

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2023 3rd International Conference on Artificial Intelligence and Industrial technology Applications, AIITA 2023

作者： Qiao, Dewen Niu, Hongxia Key Laboratory of Optoelectronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou730070 China Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province Lanzhou Jiaotong University Lanzhou730070 China School of Automation and Electrical Engineering Lanzhou Jiaotong University China

It is an important task to estimate a 3D bounding box from monocular images for autonomous driving. However, the monocular pictures do not have distance information, so it is difficult to acquire accurate results. For the sake of solving the trouble of low accuracy of the monocular image in 3D target detection because of lacking distance information, an improved monocular three-dimensional target detection algorithm based on GUPNet and neural network was proposed to promote the precision of target detection. First, based on the geometric method proposed by GUPNet, the depth, and uncertainty are obtained by direct regression using a neural network. According to the difference in the accuracy of the two methods, a parameter α was introduced, and their depth scores are obtained from the uncertainty. According to the depth score and parameter α, the depth obtained by the two methods is fused to get the final depth. Test results prove that the proposed algorithm promotes average detection precision of KITTI data set in simple, medium, and difficult cases. © Published under licence by IOP Publishing Ltd.

关键词： Object detection

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Research and Application of Partial Discharge Identification Method of Switchgear Based on Joint Feature Collocation GBDT 7

Research and Application of Partial Discharge Identification...

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7th International Conference on Electric Power Equipment - Switching technology, ICEPE-ST 2024

作者： Dai, Dongyun Lin, Yuji You, Yimin Sang, Zhongqing Liao, Quanchang Tu, Yuanting School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

The audio signal in the running process of the switchgear contains a lot of operating state information, which is of great significance to the monitoring of the internal insulation fault and abnormal state. In order to accurately identify partial discharge signals and non-partial discharge signals from audio signals collected in the complex environment of switching station, a method of feature extraction and recognition of partial discharge signals based on joint feature and gradient lifting decision tree (GBDT) is proposed. Firstly, the information distribution of partial discharge signal and non-partial discharge signal in time domain, frequency domain and time-frequency domain is analyzed, and corresponding features are extracted to form joint features. Then, GBDT is used to train the model and complete the recognition. Finally, the recognition method is verified, and various combinations are compared with common features and support vector machine (SVM). The recognition accuracy of combined features with GBDT reaches 100%. Based on this method, an online monitoring system is designed, and the audio recording and partial discharge identification results are displayed in the WeChat mini program. The research method and the system designed in this paper can be used for the online analysis and detection of the audio signal of the switchgear, which has certain engineering application value. © 2024 IEEE.

关键词： Audio recordings

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Safety-Critical control of Autonomous Surface Vehicles for Collaborative Transportation Based on Quadratic Programming

Safety-Critical Control of Autonomous Surface Vehicles for C...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Liu, Haodong Xu, Jiaxue Wang, Anqing Gu, Nan Liu, Lu Peng, Zhouhua School of Marine Electrical Engineering Dalian Maritime University Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian China

ISBN: (纸本)9789819639687

This paper addresses collaborative transportation of autonomous surface vehicles (ASVs) operating at a low speed in an open water area to assist in the movement of a ship. A constrained collaborative control method is proposed for ASVs based on a kinematic model. During the collaborative transportation phase, each ASV can converge to the desired position-heading by designing a safety-critical kinematic control law. To achieve the collaborative transportation of ASVs, the collaborative velocity signals are obtained by solving a quadratic programming problem subject to the contact force constraint and the assisted ship constraints such that the safety of ASVs during collaborative transportation can be ensured. By using the proposed constrained collaborative control method, the collaborative transportation of ASVs can be achieved. Simulation results are shown to validate the efficacy of the proposed constrained collaborative control method for collaborative transportation of ASVs. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Quadratic programming

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An Infrared and Visible Image Fusion Network for Dark Scenes

An Infrared and Visible Image Fusion Network for Dark Scenes

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Algorithm, Image Processing and Machine Vision (AIPMV), International Conference on

作者： Jiahao Zhang Zongshou Wei Gansu Key Laboratory of Plateau Traffic Information Engineering and Control Key Laboratory of Optoelectronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou China

ISBN: (数字)9798350390254

ISBN: (纸本)9798350390261

The purpose of fusing infrared and visible photos is to provide high-quality combined images with clear objects and detailed textures, even in very dark environments. The visual quality and contrast of both infrared and visible images tend to suffer in low-light situations. Previous algorithms fused poor- quality source images directly, resulting in fused images that still had low contrast and lost detail information. Thus, in this paper, we first design a multi-level brightness adjustment unit to learn visible light illumination components layer by layer and perform luminance enhancement while fusing multi-source image information. Second, to enhance the network's capacity for feature extraction, we developed the parallel attention module. This module was inserted after each brightness adjustment module. Extensive trials show that our technique works better than nine common fusion methods when compared visually and using objective measures.

关键词： Training Learning systems Degradation Visualization Machine vision Brightness Lighting Feature extraction Image fusion Testing

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Alternative non-Gaussianity measures for quantum states based on quantum fidelity

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Chinese Physics B 2022年第3期31卷 192-200页

作者： Cheng Xiang Shan-Shan Li Sha-Sha Wen Shao-Hua Xiang College of Electrical and Information Engineering Huaihua UniversityHuaihua 418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua 418008China

We propose three alternative measures for non-Gaussianity of quantum states: sine distance, Bures angle, and Bures distance, which are based on quantum fidelity introduced by Wang [Phys. Lett. A 373 58(2008)]. Using them, we evaluate the non-Gaussianity of some relevant single-mode and two-mode non-Gaussian states and find a good consistency of the three examined measures. In addition, we show that such metrics can exactly quantify the degree of Gaussianity of even Schrödinger-cat-like states of small amplitudes that can not be measured by other known non-Gaussianity measures such as the Hilbert–Schmidt metric and the relative entropy metric. We make a comparative study between all existing nonGaussianity measures according to the metric axioms and point out that the sine distance is the best candidate among them.

关键词： non-Gaussianity quantum fidelity non-Gaussian states sine metric

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Parallel Path-Following control of Fully-Actuated Autonomous Surface Vehicles Based on a High-Order Learning Extended State Observer

Parallel Path-Following Control of Fully-Actuated Autonomous...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Xu, Jiaxue Liu, Haodong Gu, Nan Liu, Lu Peng, Zhouhua School of Marine Electrical Engineering Dalian Maritime University Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian China

ISBN: (纸本)9789819639724

Unlike traditional path-following methods, this paper develops a parallel control framework to investigate the path-following behavior of autonomous surface ships (ASVs) in the presence of unknown disturbances and model uncertainties. Specifically, a high-order learning extended state observer is proposed to construct a digital-twin ASV system, enabling precise depiction of the motion characteristics of the actual ASV system. Based on the states and unknown total disturbances estimated by the digital-twin ASV system, a parallel path-following controller is developed to actively guide the ASV to achieve path-following task. Simulation results validate the efficacy of the proposed parallel path-following control scheme for the fully-actuated ASV. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： State estimation

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A Survey on Negative Transfer

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IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 305-329页

作者： Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu the Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China IEEE the School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China

Transfer learning(TL)utilizes data or knowledge from one or more source domains to facilitate learning in a target *** is particularly useful when the target domain has very few or no labeled data,due to annotation expense,privacy concerns,***,the effectiveness of TL is not always *** transfer(NT),i.e.,leveraging source domain data/knowledge undesirably reduces learning performance in the target domain,and has been a long-standing and challenging problem in *** approaches have been proposed in the literature to address this ***,there does not exist a systematic *** paper fills this gap,by first introducing the definition of NT and its causes,and reviewing over fifty representative approaches for overcoming NT,which fall into three categories:domain similarity estimation,safe transfer,and NT *** areas,including computer vision,bioinformatics,natural language processing,recommender systems,and robotics,that use NT mitigation strategies to facilitate positive transfers,are also ***,we give guidelines on NT task construction and baseline algorithms,benchmark existing TL and NT mitigation approaches on three NT-specific datasets,and point out challenges and future research *** ensure reproducibility,our code is publicized at https://***/chamwen/NT-Benchmark.

关键词： Domain adaptation domain similarity negative transfer positive transfer transfer learning

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