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Sigma-Mixed Unscented Kalman Filter-Based Fault Detection for Traction systems in High-Speed Trains

Chinese Journal of Electronics 2023年第5期32卷 982-991页

作者： CHENG Chao WANG Weijun MENG Xiangxi SHAO Haidong CHEN Hongtian Department of Computer Science and Technology Changchun University of Technology Department of Mathematics and Statistics Changchun University of Technology Institute of System Research China Industrial Control Systems Cyber Emergency Response Team Department of Mechanical and Vehicle Engineering Hunan University Department of Chemical and Materials Engineering University of Alberta

Fault detection(FD) for traction systems is one of the active topics in the railway and academia because it is the initial step for the running reliability and safety of high-speed trains. Heterogeneity of data and complexity of systems have brought new challenges to the traditional FD methods. For addressing these challenges, this paper designs an FD algorithm based on the improved unscented Kalman filter(UKF) with consideration of performance degradation. It is derived by incorporating a degradation process into the state-space *** network topology of traction systems is taken into consideration for improving the performance of state estimation. We first obtain the mixture distribution by the mixture of sigma points in UKF. Then, the Lévy process with jump points is introduced to construct the degradation model. Finally, the moving average interstate standard deviation(MAISD) is designed for detecting *** the proposed methods via a traction systems in a certain type of trains obtains satisfactory results.

关键词： Degradation Network topology Fault detection Rail transportation State-space methods Safety Kalman filters

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Effect of ambient pressures on laser-induced breakdown spectroscopy signals

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Frontiers of physics 2024年第4期19卷 243-256页

作者： Kaifan Zhang Weiran Song Zongyu Hou Zhe Wang State Key Laboratory of Power System Operation and Control Tsinghua-Rio Tinto Joint Research Centre for ResourcesEnergy and Sustainable DevelopmentInternational Joint Laboratory on Low Carbon Clean Energy InnovationInstitute for Carbon NeutralityDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan 030032China

Laser-induced breakdown spectroscopy(LIBS)is regarded as the future superstar for analytical chemistry and widely applied in various *** the quality of LIBS signal is fundamental to achieving accurate quantification and large-scale commercialization of *** propose control methods that improve LIBS signal quality,it is essential to have a comprehensive understanding of the influence of key parameters,such as ambient gas pressure,temperature,and sample temperature on LIBS *** date,extensive research has been carried ***,different researchers often yield significantly different experimental results for LIBS,preventing the formation of consistent *** greatly prevents the understanding of influencing laws of key parameters and the improvement of LIBS quantitative *** ambient gas pressure as an example,this paper compares the effects of ambient gas pressure under different optimization conditions,reveals the influence of spatiotemporal window caused by inherent characteristics of LIBS signal sources,i.e.,intense temporal changes and spatial non-uniformity of laser-induced plasmas,on the impact patterns of key *** the perspective of plasma spatiotemporal evolution,the paper elucidates the influence patterns of ambient gas pressure on LIBS signals,clarifying seemingly contradictory research results in the literature.

关键词： laser-induced breakdown spectroscopy spatiotemporal window pressure condition signal uncertainty plasma modulation

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research on Satellite Attitude control Scheme with High Precision Pointing of Astronomical Target and Its Application in Orbit 23

Research on Satellite Attitude Control Scheme with High Prec...

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Proceedings of the 2023 8th International Conference on systems, control and Communications

作者： Mingqun Li Xiang Liu Gaojian Lyu Qinghua Jiang Yong Wang Research and Development Center Beijing Institute of Control Engineering China System Design Department Beijing Institute of Control Engineering China

ISBN: (纸本)9798400707810

Based on the background of the first pulsar navigation dedicated test satellite in China—X-ray pulsar navigation 1 (XPNAV-l), this paper analyzes the astronomical objects observation task of Low-Earth-Orbit satellites, studies the characteristics of astronomical object observation task and the requirements for satellite attitude control, proposes a satellite attitude control scheme, and further studies the problem of high-precision target pointing. A spiral segmented method for astronomical object search and pointing correction is proposed, which solves the problem of high-precision pointing of astronomical object by satellites without absolute reference in orbit. Through XPNAV-l on-orbit experiments, it is verified that the proposed scheme achieves high accuracy and meets the needs of astronomical exploration.

关键词： attitude control pointing correction pulsar detection spiral segmentation

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Failure Detection from the Knocking Sounds Using Convolutional Neural Network 38

Failure Detection from the Knocking Sounds Using Convolution...

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38th IEEE Region 10 Conference, TENCON 2023

作者： Areerob, Punyapat Sum, Rithea Khongprasongsiri, Chanon Boonto, Sudchai King Mongkut's University of Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok10140 Thailand National Astronomical Research Institute Thailand

ISBN: (纸本)9798350302196

Toilet quality assurance is a crucial process in ensuring lavatories meet rigorous performance, durability, and hygiene standards. The current standard of Maximum Performance (MaP) testing faces challenges, leading researchers to explore innovative approaches such as sound source classification for quality assurance. This approach involves collecting a diverse dataset of lavatory sounds and extracting relevant acoustic features. Deep learning models, particularly convolutional neural networks (CNNs), are trained on these features to accurately classify sound sources. The trained models were evaluated and compared by considering metrics such as classification accuracy, computational complexity, and model parameters. This paper performs these tests and chooses the most effective model to enhance the quality assurance process for toilets. Incorporating sound source classification techniques has several benefits, including the optimization of testing processes, non-intrusive performance assessment, and efficient resource utilization through targeted testing and troubleshooting. By improving the standards of lavatory quality, this approach ensures enhanced performance, durability, and hygiene of lavatories. © 2023 IEEE.

关键词： Convolution

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Towards Efficient Path Finding and Moving Stability-Focused Trajectory Planning for Mobile Robots

Towards Efficient Path Finding and Moving Stability-Focused ...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Hou, Muyang Lei, Zhenya Hu, Haidong Wang, Zhong Wang, Yong Xie, Le Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Beijing Institute of Control Engineering Beijing100190 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

Nowadays, mobile robots play an important role in a variety of service scenarios. They need to plan and track trajectories to accomplish tasks such as delivery or guided tours. In such tasks, there are two remaining challenges: on one hand, the time and memory consumption of present path planners are still significant;on the other hand, service robots, which have a higher center of gravity, demand greater moving stability than that of current trajectory planners provide. To address these two challenges. Firstly, we propose a safety boundary first A∗ which fully utilizes environmental obstacle information to create a safety boundary and searches in it to quickly find an initial path. Secondly, we formulate the trajectory optimization problem as a nonlinear optimization problem, where the smoothness, safety, feasibility, and moving stability of the robot are taken into account. Furthermore, to constrain the robot's lateral acceleration, we design a time allocation algorithm based on non-uniform B-spline, enhancing the quality of the resulting trajectory. Simulations and real-world experiments demonstrate that our algorithms significantly improve path search efficiency, enhance moving stability, reduce the difficulty of tracking, and improve the quality of task completion. © 2024 IEEE.

关键词： Trajectories

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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 388-399页

作者：刘增敏王申涛姚莉秀蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China JD Business Growth Department Beijing 100176China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

In order to solve the problem of small object size and low detection accuracy under the unmanned aerial vehicle(UAV)platform,the object detection algorithm based on deep aggregation network and high-resolution fusion module is ***,a joint network of object detection and feature extraction is studied to construct a real-time multi-object tracking *** the problem of object association failure caused by UAV movement,image registration is applied to multi-object tracking and a camera motion discrimination model is proposed to improve the speed of the multi-object tracking *** simulation results show that the algorithm proposed in this study can improve the accuracy of multi-object tracking under the UAV platform,and effectively solve the problem of association failure caused by UAV movement.

关键词： moving unmanned aerial vehicle(UAV)platform small object feature extraction image registration multi-object tracking

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A Special Issue:“Co-optimization and mechanism design of multimodal energy systems under carbon constraints”

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Global Energy Interconnection 2025年第2期8卷 I0002-I0003页

作者： Lin Cheng Xiaojun Wan Department of Electrical Engineering Tsinghua University Planning and Design Research Center Energy Internet Research InstituteTsinghua University State Key Laboratory of Power System Operation and Control Tsinghua University School of Electrical Engineering Beijing Jiaotong University

Against the backdrop of active global responses to climate change and the accelerated green and low-carbon energy transition,the co-optimization and innovative mechanism design of multimodal energy systems have become a significant instrument for propelling the energy revolution and ensuring energy *** increasingly stringent carbon emission constraints,how to achieve multi-dimensional improvements in energy utilization efficiency,renewable energy accommodation levels,and system economics-through the intelligent coupling of diverse energy carriers such as electricity,heat,natural gas,and hydrogen,and the effective application of market-based instruments like carbon trading and demand response-constitutes a critical scientific and engineering challenge demanding urgent solutions.

关键词： multimodal energy systems renewable energy accommodation energy utilization efficiency co optimization carbon constraints climate change carbon emission constraintshow mechanism design

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Study on Applying Median Cancellation Adaptive Clutter Suppression Interference Algorithm to Airborne Radar 3

Study on Applying Median Cancellation Adaptive Clutter Suppr...

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3rd International Conference on Neural Networks, Information and Communication engineering, NNICE 2023

作者： Li, Zhe Zhao, Juan Lu, Shanshan Xi'an Electronic Engineering Research Institute General System Designing Department No.3 Xi'an China Sixth Sector Xi'an Modern Control Technology Research Institute Xi'an China Xi'an Electronic Engineering Research Institute Basic Research Department No.4 Xi'an China

ISBN: (纸本)9798350335972

Clutter Suppression Interference (CSI) is a common radar signal processing method, which efficiently suppresses ground clutter interference in radar received echoes and can greatly improve the signal-to-noise ratio of airborne synthetic aperture radar ground motion target indication (SAR/GMTI). However, the implementation of the clutter suppression algorithm in engineering is difficult because of the large number of filtering power coefficients to be calculated in real time. Based on this research background, this paper models the ground clutter of airborne radar, analyzes the principles and performance of three clutter suppression algorithms, CSI, ACSI and median cancellation ACSI, and performs engineering implementation. From the engineering experimental results, it can be seen that all three algorithms can improve the airborne radar signal-to-noise ratio and thus improve the recognition capability of moving targets, among which the median pair cancellation ACSI algorithm has the lowest false alarm probability and the greatest performance improvement. © 2023 IEEE.

关键词： Synthetic aperture radar

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An Attitude control Scheme for Low Redundancy Micro-nano Satellites without Gyroscopes

An Attitude Control Scheme for Low Redundancy Micro-nano Sat...

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IEEE International Conference of Intelligent Robotic and control engineering (IRCE)

作者： Mingqun Li Yongjun Lei Qinghua Jiang Research and Development Center Beijing Institute of Control Engineering Beijing China System Design Department Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350352399

ISBN: (纸本)9798350352405

XX-1 satellite is a micro-nano satellite with low control system redundancy, equipped with only one set of three-axis gyroscopes. How to achieve attitude control during satellite failures has become an important issue in control scheme. This article proposes an attitude control scheme for low redundancy micro-nano satellites under the condition of no gyroscope. When high-value components in the satellite attitude control system, such as gyroscopes, fail and there are no redundant components, the satellite only uses magnetometers to reconstruct the attitude determination system, which can achieve attitude determination under any attitude conditions. This paper divides the working modes of micro-nano satellites into different modes based on the control tasks. Corresponding control laws are adopted in different modes, and magnetic torquers and momentum wheels are used to generate corresponding control torques, thus forming a complete satellite attitude control scheme. This paper further proposes effective discrimination conditions and parameter design methods for various working modes. Mathematical simulation shows that the proposed scheme enables micro-nano satellites to recover from any attitude to a stable operating state without gyroscope, and has the ability to operate stably in orbit for a long time. The attitude control accuracy is better than 2°, and the attitude stability is better than 0.003°/s, greatly improving the satellite's ability to operate safely in orbit.

关键词： Satellites Magnetic field measurement Attitude control Magnetometers Redundancy Position measurement Extraterrestrial measurements Orbits Stability analysis Gyroscopes

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Multi-Channel Based on Attention Network for Infrared Small Target Detection

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 414-427页

作者：张彦军王碧云蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace Control Technology Shanghai 201109China Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai 201109China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

Infrared detection technology has the advantages of all-weather detection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high missed detection rate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poor detection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features and deep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIRST and MDFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.

关键词： infrared image small target detection deep learning attention mechanism feature fusion

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