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第41届中国控制会议

作者： Xinyi Xu Qilin Qu Yanwei Wang Ying Zheng Housheng Su China-Belt and Road Joint Laboratory On Measurement and Control Technology School of Artificial Intelligence and AutomationHuazhong University of Science and Technology School of Mechanical & Electrical Engineering Wuhan Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The intelligent bearing diagnosis with big data has been widely *** high performance diagnosis models are constantly being proposed,these models are difficult to apply in some practical application with limited collectable *** this paper,an Improved Metric Space Support Vector Machine with a two-stage learning strategy is proposed to overcome the challenge of few-shot scenarios under target domain ***,an improved triplet loss is designed in the metric network to select features by utilizing the similarity of ***,kernel method is used to model in few-shot scenarios by maximizing the inter-class *** on CWRU dataset verify the superiority and robustness of IMSSVM comparing with popular baseline ***,the effectiveness of IMSSVM is verified with visualizing the feature embeddings by t-distributed stochastic neighbor embedding.

关键词： fault diagnosis few-shot learning metric learning kernel method

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Combined Model Predictive control for Geosynchronous Satellite Station Keeping Using Electric Propulsion

Combined Model Predictive Control for Geosynchronous Satelli...

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第42届中国控制会议

作者： Heng Shi Xiaoxiang Liu Shuo Wang Ji Mai Beijing Institute of Control Engineering Beijing Aerospace Institute for Metrology and Measurement Technology

Novel combined model predictive control method is presented,which includes long-term trajectory planning,outer-loop model predictive trajectory and angular momentum control,and inner-loop attitude ***,the influence of long-period perturbation characteristics on long term station keeping of geosynchronous satellite is fully considered,and the station keeping trajectory is optimized for 3 months to 6 ***,taking the long-term planning results as the reference trajectory and considering the engineering constraint model,the outer-loop control is realized within 7 days to 14 days,so that the position trajectory meets the planning expectations and meets the requirements of orbit and angular momentum optimal *** inner loop control adopts the attitude control method considering the continuous torque effect of small thrust,so as to meet the requirements of real-time angular momentum and attitude control with higher *** method has been successfully verified by on-orbit flight tests,showing the characteristics of high control accuracy,high fuel utilization efficiency,and being adaptive to various engineering constraints.

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Gated Fusion and Dual Attention Network for Road Extraction from Satellite Imagery 8

Gated Fusion and Dual Attention Network for Road Extraction ...

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8th International Conference on Image, Vision and Computing, ICIVC 2023

作者： Wang, Haijuan Bai, Lin Ji, Bo Shen, Jiaming Jin, Ying Ye, Fei Zhu, Chunlin School of Electronics and Control Engineering Chang'An University Xi'an China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd. Hangzhou China Xi'An Aeronautics Computing Technique Research Institute Xi'an China

ISBN: (纸本)9798350335231

Automatic recognition and extraction of roads from high-resolution satellite images is a crucial task in remote sensing and computer vision. With the continuous development of remote sensing technology, more ground object information is contained in images, making it more challenging to extract roads due to increased interference. This paper proposes a gated fusion and dual attention network with an encoder-decoder structure to address this problem. The full-stage gated fusion module in skip connection selectively fuses feature maps of different scales using the Gated Fusion (GFF) unit, which increases the receptive field of the network and improves the accuracy of road extraction. The context extraction and dual attention module introduce rich global information and simultaneously weights features from both spatial and channel dimensions. This improves the semantic segmentation problem caused by focusing only on local information in current road extraction models. Experimental results on two public datasets show that GFDANet can effectively extract roads in complex scenes. © 2023 IEEE.

关键词： Roads and streets

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Multi-branch low-light enhancement algorithm based on spatial transformation

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Multimedia Tools and Applications 2025年第18期84卷 19647-19667页

作者： Wang, Wenlu Sun, Ying Zou, Chunlong Tang, Dalai Fang, Zifan Tao, Bo Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China School of Computer Information Management Inner Mongolia University of Finance and Economics Hohhot010051 China College of Mechanical Engineering Hubei University of Automotive Technology Shiyan442000 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China Hubei Key Laboratory of Hydroelectric Design & Maintenance China Three Gorges University Yichang443002 China

Many state-of-the-art low-light image enhancement techniques now suffer from issues like color distortion, detail blurring, and the halo effect, hindering their ability to produce visual effects. This paper presents a multi-branch low-light enhancement algorithm based on spatial transformation to significantly improve the visual impact of images under low-light settings, overcoming the limitations of existing approaches. The process involves dividing the initial low-light picture into three distinct layers. Bootstrap filtering and Contrast Limited Adaptive Histogram Equalization are used to process the main feature layer. Primary feature extraction is used to extract features for the compensation layer, which is then integrated with Contrast Limited Adaptive Histogram Equalization and MSRCR. The auxiliary layer utilizes spatial transformation to apply gamma correction to the V-channel and performs color space transformation and additional processing. Ultimately, these three layers are combined and refined to create the final improved image. Based on the experimental results, the proposed method outperforms the standard MSRCR algorithm by 52.47%, 71.58%, and 12.10%, respectively, on the assessment metrics AG, SD, and IE. LOE declines by 22.3%. The processed image presents a good visual quality, effectively enhancing the image brightness while retaining a large amount of information and improving the image details. This paper proposes an effective method to deal with the problem of low illumination image enhancement, which provides a strong reference for future research and application in related fields. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image enhancement

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Coordinated and Optimized Scheduling of Integrated Energy System Based on Improved Beluga Algorithm 9th

Coordinated and Optimized Scheduling of Integrated Energy Sy...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Zhang, Zhuanqin Wang, Hui Xiao, Jieping Zhou, Weichao Zhao, Zijun Guan, Baojin School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun130012 China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology Changchun130012 China State Grid Jilin Electric Power Co. Ltd. Yanbian Power Supply Company Yanbian133000 China Jilin Institute of Chemical Technology Jilin132022 China

ISBN: (纸本)9789819616701

In order to solve the problems of low energy utilization, high carbon emission and poor economic benefit of integrated energy system, this paper proposes an improved beluga algorithm to realize coordinated and optimal dispatching of integrated energy system. Firstly, the operation framework of the integrated energy system is built, and the two-stage electricity-to-gas model and carbon trading mechanism model were constructed. Secondly, the improved Moby Dick algorithm is used to optimize the comprehensive energy system. Finally, the matlab2021a+gurobi solution environment is used to verify the solution. The results show that the proposed algorithm can effectively improve the energy utilization rate of the system, while ensuring the low carbon and economy of the integrated energy system. © State Grid Electric Power 2025.

关键词： Low emission

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Optimal design of middle-wavelength infrared dual field-of-view optical system 3

Optimal design of middle-wavelength infrared dual field-of-v...

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3rd International Computing Imaging Conference, CITA 2023

作者： Peipei, Yan Huaili, Zhang Kai, Liu Kai, Jiang Jing, Duan Qiusha, Shan The Photoelectric Measurement and Control Technology Research Department Xi’an Institute of Optics and Precision Mechanics Chinese Academy Sciences Xi’an710119 China Space Engineering University Beijing101416 China

ISBN: (纸本)9781510671409

A middle infrared dual field-of-view(FOV) optical system with staring focal plane array and reimaging optics is presented for cool 640×512 detector. Based on zoom system principle and optical design software, the Modulation Transfer Function (MTF)curve, spot diagram, and the encircled energy are *** design results show that this system can realize 300mm/600mm dual field-of-view at the spectrum region of 3.7～4.8um and the F number of 4, which can obtain the cold shield efficiency of 100% and the MTF more than 0.2 at the spatial frequency of 33lp/*** optical system is analyzed in two modes of long focal length and short focal length, results show that it has the advantages of simple structure, high image quality, low price and easy to adjustment. © 2023 SPIE.

关键词： Optical systems

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Design and Implementation of Coal Mine Monitoring Networking System Based on Service-Oriented Architecture 8

Design and Implementation of Coal Mine Monitoring Networking...

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8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022

作者： Chen, Yunqi Xu, Jin Measurement and Control Technology Research Institute China Coal Technology Engineering Group Chongqing Research Institute Chongqing China School of Big Data & Software Engineering Chongqing University Chongqing China

ISBN: (纸本)9781665453516

Coal is the most important basic energy supporting the development of the national economy, safe production and effective supervision and management are of great significance. Currently, the coal mine safety monitoring system can be monitored locally, but it cannot help the supervision department to realize the remote supervision and centralized supervision. Establishing a corresponding coal mine safety monitoring network system has become a urgent need of coal mine safety supervision. In the paper, we first study the service-oriented architecture(SOA), and describes the windows communication foundation(WCF) technology, the technology is a main way to achieve SOA architecture. Then combined with WCF technology, the function and logic structure of coal mine safety monitoring network system are designed. Finally, the network system of mine monitoring system based on SOA was realized in the background of a mine monitoring system networking project of a company. © 2022 IEEE.

关键词： Coal mines

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Design and technology review of the solar X-ray detector onboard the Macao Science Satellite-1B

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Science China(Technological Sciences) 2024年第11期67卷 3365-3380页

作者： ZUO FuChang SHI YongQiang CHEN JianWu ZHANG XiaoPing FU WeiChun CHANG Ye GAI FangQin LIU SiYuan XIONG Yan ZHANG HaiLi SUN Yan WANG Li ZHENG Ran LI LianSheng MEI ZhiWu HUANG He ZHA GangQiang ZHANG KeKe Space Optoelectronic Measurement and Perception Lab. Beijing Institute of Control EngineeringBeijing 100190China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao 999078China School of Astronautics Northwestern Polytechnical UniversityXi’an 710072China Key Laboratory of Radiation Detection Materials and Devices Northwestern Polytechnical UniversityXi’an 710072China Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518063China

On May 21,2023,the Macao Science Satellite-1B(MSS-1B),a low-inclination,low-latitude,and high-precision scientific exploration satellite for geomagnetic fields and space environments,was successfully *** solar X-ray detector(SXD),one of the two major scientific payloads onboard the MSS-1B,has obtained a large amount of solar X-ray radiation data,which reveals the distribution law of the magnetic field in the low Earth orbit,as well as the coupling law of the Earth's magnetic field and the solar radiation and energy particle ***,the overall design of the multi-detection-unit,broad-energy-range,small-volume,and low-power SXD was implemented to achieve the scientific objectives of the ***,the technical indicators of the instrument were decomposed into various components,and the key technologies,such as collimator,processing circuit,thermal,and payload dataset designs,were ***,the backgrounds,including electronic noise,cosmic diffuse X-ray background,and high-energy background in the Earth's radiation belts in and out of the field of view,were analyzed for the ***,the ground calibrations of the energy response,detection efficiency,and temperature-dependent peak drift of the SXD flight model were ***,the in-orbit temperature,energy spectrum data,background,and solar flare process observation of the instrument in the in-orbit test stage are presented,verifying the instrument design,analysis,and ground calibration,providing a foundation for obtaining accurate solar X-ray radiation data,and achieving the scientific objectives of the satellite.

关键词： Macao Science Satellite-1B solar X-ray detector design and development solar flare technology review

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Research on the Wirtinger Flow algorithm based on quadratic distribution initial value 1

Research on the Wirtinger Flow algorithm based on quadratic ...

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1st Advanced Imaging and Information Processing Conference, AIIP 2023

作者： Xie, Zhenfei Yu, Xuelian Wang, Zhengxian Li, Heng Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China Shenzhen Engineering Laboratory of Aerospace Detection and Imaging College of Electronic and Information Engineering Harbin Institute of Technology Shenzhen518055 China

ISBN: (纸本)9781510671904

Phase retrieval algorithms, such as the Wirtinger Flow (WF) algorithm, are widely used in various fields. As a non-convex optimization algorithm for phase retrieval, WF is commonly employed in the reconstruction of holograms in holographic image projection. These types of algorithms typically involve two stages: an initialization stage and an iterative optimization stage. In the initialization stage, an initial value is provided, and a spectral method is used to calculate an approximate solution as the initial guess. The iterative optimization stage then utilizes the Wirtinger gradient to iteratively compute and converge the initial guess to a nearby real solution, thereby obtaining the global optimal solution. However, due to the random nature of the initial values, the computed results often exhibit significant instability. To address this issue, this paper proposes an approach based on a quadratic distribution for improving the stability of the results. In the initialization stage, the initial value is set as the quadratic distribution initial value. Then, the spectral method is applied again to calculate the initial guess. Since the quadratic distribution initial value is artificially assigned, it enhances the stability of the computed results. To validate this method, the paper applies the quadratic distribution initial value to both the initialization stage of the WF algorithm and the Truncated Amplitude Flow (TAF) algorithm. A comparison is made between the results obtained using random initial value and those obtained using the quadratic distribution initial values. The results demonstrate that compared to random initial values, the quadratic distribution initial values can achieve faster and equally accurate computation results with higher stability. Finally, this method is applied to simulation experiments of in-line digital holography, and the reconstruction results from the experiments further confirm the effectiveness of our approach. © 2023 SPIE.

关键词： Convex optimization

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Aero-Engine Remaining Useful Life Prediction Using A Multi-Dimensional Convolutional Feature Fusion Framework

Aero-Engine Remaining Useful Life Prediction Using A Multi-D...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Wang, Liangcheng Wang, Yang Zhang, Hong Wang, Yanwei Zheng, Ying Huazhong University of Science and Technology The Belt and Road Joint Laboratory on Measurement and Control Technology School of Artificial Intelligence and Automation Wuhan430074 China Wuhan Institute of Technology School of Mechanical & Electrical Engineering Hubei Wuhan430073 China

ISBN: (纸本)9798350337754

Accurate prediction of aero-engine remaining useful life (RUL) is essential for providing reliable maintenance or alarm decisions. The extraction of degraded features has a great impact on the accuracy of RUL prediction. This paper proposes a feature fusion framework that relies on a multi-dimensional convolutional neural network (MD-CNN). First, the data of each working condition is normalized separately to extract degradation features more effectively. Subsequently, the temporal features are extracted using the one-dimensional convolutional neural network (1D-CNN), while the spatial local features are captured through the utilization of the two-dimensional convolutional neural network (2D-CNN). Finally, the long short-term memory network (LSTM) is utilized as the prediction model to establish the mapping relationship from fusion features to RUL. The result shows that the performance in predicting using the proposed method surpasses that of the existing methods. © 2023 IEEE.

关键词： Convolution

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