检索结果-内蒙古大学图书馆

第42届中国控制会议

作者： Xin Qin Feng Jin Zhongyang Han Jun Zhao Wei Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment (Dalian University of Technology) Ministry of Education School of Control Science and Engineering Dalian University of Technology

The cyber network attacks on the Internet have the characteristics of diversity,uncertainty and *** paper proposes a hybrid support vector machine(HSVM)-based classification method for real-time cyber network attack *** the supervised environment,a one-class classifier is built to divide the unknown attack traffic into 'other classes',and a new extension module is established for the identified unknown attacks,so as to improve the classification accuracy of unknown ***,an online training algorithm is used to enable the classifier to quickly distinguish cyber network attacks and improve the timeliness of the intrusion detection *** verify the effectiveness of the proposed method is employed,three classifiers,i.e.,the random forest,the support vector machine and the multi-layer perceptron are employed for comparative experiments based on the public data set *** show that the proposed method has the advantages of higher classification accuracy and less time consumption.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exponential Weighted Moving Average-Based Variational Mode Decomposition Method for Fault Diagnosis of Vehicle Batteries 13

Exponential Weighted Moving Average-Based Variational Mode D...

引用

13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Wu, Penghao Tao, Hongfeng Tian, Engang Yin, Tangwen Chen, Hongtian Chen, Yiyang School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China Jiangnan University Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Wuxi214122 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China

ISBN: (纸本)9798350361674

In recent years, the rapid advancement of electric vehicles has heightened concerns regarding the safety of high-energy batteries. Consequently, there has been a significant focus on the development of fault diagnosis technologies for batteries. Intelligent fault diagnosis (IFD), particularly data-driven approaches, represents a crucial methodology in addressing this concern. This paper proposes a data-driven approach, for IFD in high-energy batteries utilized in electric vehicles. The proposed Exponentially Weighted Average Variational Mode Decomposition (EWVMD) method overcomes these limitations by employing the exponential weighted moving average (EWMA) technique to smooth collected time-series voltage data. This process reduces noise, accentuates abnormal change trends, and yields secondary data with enhanced features. Subsequently, variational mode decomposition (VMD) is applied to the secondary data. The resulting decomposed sub-mode curves (intrinsic mode functions - IMFs) and the change trends of the residual curve, in conjunction with a fault threshold tailored to actual working conditions, are utilized to ascertain the occurrence of faults. Design verification experiments, the C42MSA electric vehicle power supply battery undergoes charging and discharging tests with injected faults at fixed intervals. The collected fault signals are then subjected to fault diagnosis using EWVMD. Results demonstrate the algorithm's superior detection effectiveness and increased sensitivity to fault signals compared to traditional methods. © 2024 IEEE.

关键词： Variational mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Design and Analysis of a Multi-Legged Robot with Pitch Adjustive Units

引用

Chinese Journal of Mechanical Engineering 2021年第3期34卷 226-242页

作者： Qiang Ruan Jianxu Wu Yan-an Yao Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control TechnologyMinistry of EducationBeijing Jiaotong UniversityBeijing 100044China Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China

The paper proposes a novel multi-legged robot with pitch adjustive units aiming at obstacle *** only 6 degrees of freedom,the robot with 16 mechanical legs walks steadily and surmounts the obstacles on the complex *** leg unit with adjustive pitch provides a large workspace and empowers the legs to climb up obstacles in large sizes,which enhances the obstacle surmounting *** pitch adjustment in leg unit requires as few independent adjusting actuators as *** on the kinematic analysis of the mechanical leg,the biped and quadruped leg units with adjustive pitch are analyzed and *** configuration of the robot is designed to obtain a compact structure and pragmatic *** uncertainty of the obstacle size and position in the surmounting process is taken into consideration and the parameters of the adjustments and the feasible strategies for obstacle surmounting are *** the 3D virtual model and the robot prototype are built and the multi-body dynamic simulations and prototype experiments are carried *** results from the simulations and the experiments show that the robot possesses good obstacle surmounting capabilities.

关键词： Mechanical leg Multi-legged robot Obstacle surmounting Adjustive pitch Leg unit

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Stabilization for a Class of Unknown Switched Linear Systems with Asynchronism

Data-Driven Stabilization for a Class of Unknown Switched Li...

引用

第43届中国控制会议

作者： Wan-Ling Qi Kun-Zhi Liu Xiao-Lin Cheng Rui Wang School of Control Science and Engineering Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology School of Aeronautics and Astronautics Dalian University of Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This brief investigates the data-driven stabilization for a class of unknown switched linear systems in both continuous and discrete *** assume that the switching signal is known but the system matrices of each subsystem are unknown and belong to some sets described by finite noisy input-state ***-driven parameterization of each unknown subsystem is built on the instantaneous bound of the external disturbance rather than the energy *** closed-loop stability is guaranteed by adopting a controller-mode-dependent Lyapunov function and the resulting stability conditions are data-based rather than *** switching signals are arbitrary as long as they satisfy the average dwell time(ADT) condition that derived from noisy *** numerical examples are presented to illustrate how to enhance the feasibility of the proposed methods.

关键词： Data-driven control unknown switched linear systems asynchronous switching Lyapunov approach

来源：评论

学校读者我要写书评

暂无评论

Optimal Allocation of Energy Storage in Smart Park Distribution Network for Power Fluctuation Regulation of Tie Line Oriented to Source-load Uncertainty 41

Optimal Allocation of Energy Storage in Smart Park Distribut...

引用

第41届中国控制会议

作者： Wenhe Peng Zhijian Fang Jie Cai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The randomness of photovoltaic power generation and the disorder of electric vehicle charging have a significant impact on the transmission capacity of the smart park tie *** storage can help to stabilize the power fluctuation of the tie line and improve distribution network operation *** this paper,the park's source and load uncertainty models are established to determine the original transmission power of the distribution network tie line,and then the tie line's power control model is established to ensure that the power fluctuation rate of the distribution network tie line varies within a certain *** power required for hybrid energy storage stabilization is calculated,and the high-pass filtering algorithm is used to allocate *** amount of power required to stabilize the supercapacitor and lithium battery is *** hybrid energy storage capacity configuration model is built on top of *** hybrid energy storage constraints are constructed using the maximum annual income of the hybrid energy storage as the objective function,and the adaptive particle swarm optimization(APSO) is used to solve the problem,resulting in the hybrid energy storage's optimal capacity ***,an example is used to simulate the *** simulation results show that this method can keep the tie line's power fluctuation rate within a narrow range as much as possible,which can be used as a reference for a smart park's energy storage configuration.

关键词： photovoltaic power generation electric vehicles hybrid energy storage tie-line power fluctuation adaptive particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

An Inverse Kinematic optimization Method for the S-R-S Redundant Manipulator Considering Joint Limit and Singular Position Avoidance 41

An Inverse Kinematic Optimization Method for the S-R-S Redun...

引用

第41届中国控制会议

作者： Yisheng Mei Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Aiming at the problem of how to avoid the joint limit and singular position in continuous trajectory planning of the S-R-S redundant manipulator,a new inverse kinematics optimization algorithm is proposed in this ***,according to the special geometry of S-R-S manipulator,we take the arm angle as the redundant parameter to obtain the joint angle expressions under the given tip pose and arm *** we discuss the feasible arm angles under joint limit in nonsingular and singular cases,and give a complete method to obtain the effective arm ***,we introduce the concept of virtual force to represent the degree that the joint is far from the limit,and define the optimization objective function with the virtual force as the weight to avoid joint limit,the complex relationship between the arm angle and joint angles is linearized by the difference method to simplify the objective function to quadratic function,combine with the feasible arm angle range,we realize singularity avoidance and joint limit avoidance at the same *** simulation result shows that compared with the traditional algorithm,the algorithm proposed in this paper has better joint limit avoidance ability on the premise of avoiding singularity which reflects the superiority of the algorithm and can be used for the motion planning of the manipulator in practical engineering.

关键词： Arm angle Singular position avoidance Joint limit avoidance Inverse kinematic optimization

来源：评论

学校读者我要写书评

暂无评论

Industrial Smoke Images Generation Network Based on Bidirectional Recurrent Network

Industrial Smoke Images Generation Network Based on Bidirect...

引用

第43届中国控制会议

作者： Kai Chen Zheng LV Qiao Sun Jun Zhao Wei Wang Key Laboratory of Intelligent Control and Optimization for Industrial Equipment (Dalian University of Technology) Ministry of Education Electric Operations Control Center State Grid Dalian Power Supply Company

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

The monitoring of smoke emissions serves as a crucial reference for guiding operations in the steel industry. However,due to the scarcity of industrial smoke datasets, most deep learning methods encounter difficulties when addressing this *** address the issue of limited smoke data, this paper proposes a novel data augmentation method called the bidirectional recurrent generative network. This algorithm combines the concepts of recurrent generative networks and Laplacian pyramid networks to learn smoke generation from smoke-free blast furnaces and eliminate smoke from smoke blast furnaces. In order to overcome the limitation of recurrent generative networks in accurately depicting target contours, this paper introduces contour feature vectors, which provide precise characterization of the target contours through constraint-based feature vectors. Furthermore, to alleviate the difficulty of generation, the Laplacian pyramid model is introduced, which reduces parameters and learning time by learning from low-resolution images. To validate the effectiveness of the proposed algorithm, extensive ablation experiments and comparative trials are conducted on four different smoke image datasets from industrial scenarios with limited quantities. The results demonstrate significant improvements achieved by this paper's algorithm. Compared to other generation methods, the proposed algorithm exhibits superior performance in smoke generation tasks, offering an effective solution to address the challenges of scarce industrial smoke data and the training difficulties faced by related deep learning algorithms.

关键词： Bidirectional Recurrent Generative Network Data Augmentation Smoke Generation Laplacian Pyramid

来源：评论

学校读者我要写书评

暂无评论

Design of Intelligent Monitoring System for Blast Furnace Hearth Erosion 41

Design of Intelligent Monitoring System for Blast Furnace He...

引用

第41届中国控制会议

作者： Shuqiao Wang Yan Yuan Jingjie Liang Zhuofu Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper takes the iron-making blast furnace in operation of a steel plant as the specific object,analyzes the erosion status and characteristics of different parts of the furnace hearth and bottom combined with iron-making process and erosion mechanism of the blast furnace,designs an intelligent monitoring system for erosion of the furnace hearth lining,visualizes the temperature measurement *** erosion calculation model is established by using the heat transfer mechanism to quickly solve the erosion boundary for the area with low erosion degree and rate,and performs a fast solution of the erosion *** areas with high erosion degree and rate,the particle swarm optimization algorithm is selected by using its adaptive *** solves the erosion boundary accurately from the rough solution of the mechanism model,and the residual thickness of furnace lining is output and displayed,which helps ironmakers optimize the blast furnace production operation,maintenance strategy,improve production efficiency and reduce energy consumption.

关键词： Blast furnace lining erosion Particle swarm optimization algorithm Intelligent monitoring system

来源：评论

学校读者我要写书评

暂无评论

Combining Transformer and Convolutional Neural Network for Smoke Detection 9th

Combining Transformer and Convolutional Neural Network for...

引用

9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Gong, Yafei Lian, Xinkang Ma, Xuanchao Xia, Zhifang Zhou, Chengxu Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China National Information Center Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning Jinzhou China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

Smoke detection plays a crucial role in the safety production of petrochemical enterprises and fire prevention. Image-based machine learning and deep learning methods have been widely studied. Recently, many works have applied the transformer to solve problems faced by computer vision tasks (such as classification and object detection). To our knowledge, there are few studies using the transformer structure to detect smoke. In order to research the application potential and improve the performance of the transformer in the smoke detection field, we propose a model consisting of two transformer encoders and a convolutional neural network (CNN) module. The first transformer encoder can be used to establish the global relationship of an image, and the CNN structure can provide additional local information to the transformer. The fusion of global information and local information is conducive to the second transfer encoder to make better decisions. Experiments results on large-size dataset for industrial smoke detection illustrate the effectiveness of the proposed model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smoke

来源：评论

学校读者我要写书评

暂无评论

Design and application of intelligent monitoring system for geological hazards 41

Design and application of intelligent monitoring system for ...

引用

第41届中国控制会议

作者： Yutong Pan Chengda Lu Wanke Yu Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development and utilization of natural resources,geological hazards have posed a great threat to people's life and property *** is of great significance to realize the design of distributed geological disaster monitoring experimental system aimed at a series of problems,such as ecological environmental damage and major natural ***,this paper conducts the system requirements analysis based on the Three Gorges area as an ***,the system architecture and function is designed,and the system hardware configuration and application software design are carried ***,geological hazards intelligent monitoring system is developed and has been verified in Zigui-Badong region of the Three Gorges,which can effectively improve the information utilization rate and monitoring efficiency in the process of geological hazards *** results show that the system works well and can effectively monitor the occurrence of geolo gical hazards.

关键词： Geological hazards system design hardware configuration application software the Three Gorges

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：