检索结果-内蒙古大学图书馆

Based on multi-sensor information fusion circulating fluidized bed boiler combustion process clustering control research

引用

Advances in Information Sciences and Service Sciences 2012年第3期4卷 35-43页

作者： Ma, Yunfei Niu, Peifeng Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao 066004 China National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Qinhuangdao 066004 China

Over the decade, due to the fact that the global energy resources are in deadly shortage, much emphasis is put on the energy consumption in thermal power throughout the world. Following developed is Circulating Fluidized Bed Boiler (CFBB) in recent years, a kind of combustion boiler that can clean and desulfurize the coal efficiently in the combustion process. Circulating Fluidized Bed Boiler (CFBB) is a control object with features of time varying parameters, large delay, and multivariable control tightly coupled. Noticeably, many factors influence the combustion process. This paper designs a three level ART2-BP-BP of data fusion--fusion cluster control system based on methods of multi-sensor information fusion and cluster analysis. It completes data fusion from the data level, the feature level to the decision level. Especially, the concept of Situation Threat Space aiming at the potential threats in CFBB is presented. Results of simulation show that the control system in this paper is feasible and effective, in particular, the control system still has more satisfactory control effect in the case of a variety of sensor failures.

关键词： Fluidized beds

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Q-learning obstacle avoidance algorithm of humanoid robot in unknown environment

Fuzzy Q-learning obstacle avoidance algorithm of humanoid ro...

引用

Chinese control Conference

作者： Shuhuan Wen Jianhua Chen Zhen Li Ahmad B. Rad Kamal Mohammed Othman Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Engineering Sciences Simon Fraser University Surrey BC Canada

This paper proposes a fuzzy Q-learning (FQL) algorithm to solve the problem of the robot obstacle avoidance in unknown environment. FastSLAM algorithm is used to localize the position of the robot. Traditional Q-learning algorithm, optimized Q-learning algorithm, FQL algorithm are compared. The simulation results show that FQL algorithm has a faster learning speed than other two algorithms and the results demonstrate that the fuzzy Q-learning obstacle avoidance algorithm is effective.

关键词： Collision avoidance Path planning Convergence Humanoid robots Mobile robots Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Defect Detection in Solar Panels Based on PV-Flow

Defect Detection in Solar Panels Based on PV-Flow

引用

WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Minghao Niu Jiaqi Li Mengyu Li Yifan Zhao Ying Liu Shuhuan Wen Key Laboratory of Industrial Computer Control Engineering of Hebei Province Key Lab of Intelligent Rehabilitation and Neuroregulation in Hebei Province Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment Yanshan University Qinhuangdao China Yingli Energy Development Co. Baoding China

ISBN: (数字)9798331506100

ISBN: (纸本)9798331506117

With technological advancements, resource utilization has increased, making renewable energy sources like solar power essential. Effective defect detection for solar panels is crucial. However, manual inspection is currently inefficient and machine vision lacks accuracy. In order to improve defect detection in high-resolution images and overcome the limitations of existing methods, we propose an unsupervised deep learning model called PV-Flow, which combines a hybrid attentional mechanism and a multiscale feature extraction module of the flow model. Before defect detection we need to categorize the defects and make a dataset, after observing the features we classify the defects into black spots, broken grids, hidden cracks and fragmentations. The performance of the model while performing defect detection is evaluated by metrics of reconstructed images and visual comparisons. Experiments on real solar panel datasets show that our proposed PV-Flow model is able to accurately identify the location of broken gate defects and show more details, with even the smallest defects clearly labeled and magnified. This suggests that our proposed model is able to detect potential defects earlier, thus reducing production risks and costs. We also conducted comparative experiments to further validate the reliability of the model.

关键词： Deep learning Visualization Accuracy Costs Sensitivity Production Feature extraction

来源：评论

学校读者我要写书评

暂无评论

An Improved Model Predictive control of Wave Energy Converters Based on Weighted Optimization of Objective Function

SSRN

引用

SSRN 2023年

作者： Wang, Zhenchun Wang, Nianguo School of Electrical Engineering Yanshan University Qinhuangdao066004 China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China

This paper investigates the model predictive control (MPC) of a point-absorption sea wave energy converter (WEC). The dynamic model and information about upcoming waves serve as the foundation for MPC implementation, but building the plant model and forecasting waves will invariably introduce errors. As a result of this fact and the multi-step predictive optimization feature of MPC, a novel objective function based on the weighting factor is adopted in the MPC design, which has the following benefits: First, the weighting factor penalizes the objective function with errors at various steps in time, which can limit the adverse effects of uncertainties on the controller. Second, the weighting factor can better constrain the float displacement, ensuring the device’s safe operation. In addition, the weighting factor is optimized offline using a genetic algorithm, and its value changes depending on the sea state. The simulation results show the effectiveness of the proposed MPC strategy. © 2023, The Authors. All rights reserved.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

An Ameliorated Moth-flame Optimization Algorithm

An Ameliorated Moth-flame Optimization Algorithm

引用

第37届中国控制会议

作者： Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame Optimization（MFO） algorithm is an innovative nature-inspired algorithm. To improve the precision of the solution and to quicken the convergence speed and to increase the stability of MFO,an ameliorated Moth-flame optimization algorithm（A-MFO） that combines the crisscross optimization algorithm with MFO is proposed to solve this problems that are mentioned above. The performance of proposed A-MFO is demonstrated on six benchmark mathematical function optimization problems regarding superior accuracy and lower computational time achieved compared to other well-known nature-inspired algorithms.

关键词： Moth-flame optimization algorithm crisscross optimization algorithm stochastic optimization convergence

来源：评论

学校读者我要写书评

暂无评论

Multi-dimension and multi-modal rolling mill vibration prediction model based on multi-level network fusion

引用

Journal of Central South University 2024年第9期31卷 3329-3348页

作者： CHEN Shu-zong LIU Yun-xiao WANG Yun-long QIAN Cheng HUA Chang-chun SUN Jie School of Electrical Engineering Yanshan UniversityQinhuangdao 066004China Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan UniversityQinhuangdao 066004China Shougang Jingtang United Iron&Steel Co. Ltd.Tangshan 063200China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China

Mill vibration is a common problem in rolling production,which directly affects the thickness accuracy of the strip and may even lead to strip fracture accidents in serious *** existing vibration prediction models do not consider the features contained in the data,resulting in limited improvement of model *** address these challenges,this paper proposes a multi-dimensional multi-modal cold rolling vibration time series prediction model(MDMMVPM)based on the deep fusion of multi-level *** the model,the long-term and short-term modal features of multi-dimensional data are considered,and the appropriate prediction algorithms are selected for different data *** on the established prediction model,the effects of tension and rolling force on mill vibration are *** the 5th stand of a cold mill in a steel mill as the research object,the innovative model is applied to predict the mill vibration for the first *** experimental results show that the correlation coefficient(R^(2))of the model proposed in this paper is 92.5%,and the root-mean-square error(RMSE)is 0.0011,which significantly improves the modeling accuracy compared with the existing *** proposed model is also suitable for the hot rolling process,which provides a new method for the prediction of strip rolling vibration.

关键词： rolling mill vibration multi-dimension data multi-modal data convolutional neural network time series prediction

来源：评论

学校读者我要写书评

暂无评论

Active Disturbance Rejection control for Vibration Displacement Tracking System of Continuous Casting Mold Driven by Servo Motor

Active Disturbance Rejection Control for Vibration Displacem...

引用

第36届中国控制会议

作者： ZHANG Wenbo FANG Yiming LI Jianxiong MA Zhuang Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University

Active disturbance rejection control（ADRC） is applied in this paper to solve the problems of time-varying load torque disturbance,reduction ratio uncertainty and the initial deviation of the eccentric shaft mechanical zero,which exist in the continuous casting mold vibration displacement system driven by servo *** consists of three parts:tracking differentiator（TD）,extended state observer（ESO） and nonlinear state error feedback（NLSEF）.TD is responsible for the arrangement of the transition process of eccentric shaft angular displacement and extracts its differential signal,which makes eccentric shaft angular displacement change *** improve the tracking accuracy,a modified ESO is designed to estimate and compensate comprehensive disturbance of the control system,which enhances system anti-disturbance ability,And NLSEF is then developed to improve the rapidity and stability of the control ***,the simulation results are given to show that ADRC has the characteristics of fast response,high accuracy and strong robustness against the internal and external disturbances in the control system.

关键词： servo motor continuous casting mold vibration displacement system active disturbance rejection control

来源：评论

学校读者我要写书评

暂无评论

A hybrid algorithm based on teaching-learning-based optimization and newton method for solving nonlinear equations

引用

ICIC Express Letters 2016年第1期10卷 103-109页

作者： Li, Xia Niu, Peifeng Zhao, Litong Li, Guoqiang Liu, Jianping Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University No. 438 West Hebei Avenue Qinhuangdao China Department of Mathematics and Information Science Hebei Normal University of Science and Technology No. 360 West Hebei Avenue Qinhuangdao China

Solving nonlinear equations is an important problem in engineering eld. Therefore, the study of ecient algorithm is of great signicance. Teaching-LearningBased Optimization (TLBO) has the advantages of simple algorithm, less parameters, strong global convergence ability and insensitivity to initial point, but it is weak at local optimization and slow later convergence. On the other hand, Newton method has the advantage of local deep search and fast convergence rate, but it is sensitive to the initial point. Therefore, considering advantages and disadvantages of two methods above, this paper proposes a hybrid algorithm (TNHA) based on the TLBO and Newton method for solving nonlinear equations. The hybrid algorithm both combines all these merits of the TLBO and Newton method but does not have the defects. Finally, numerical examples verify the eciency of the TNHA. © 2016 ICIC International.

关键词： Newton-Raphson method

来源：评论

学校读者我要写书评

暂无评论

Electrochemical Detection of Insulin Based on Screen Printed Electrode Modified by Nickel Hydroxide

Electrochemical Detection of Insulin Based on Screen Printed...

引用

International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)

作者： Hongyu Zhang Zhikun Zhan Yuliang Zhao Xiaopeng Sha Xiaodong Yu Hui Sun Lijia Gu Jiali Liu Lianqing Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China State key Laboratory of Robotics Chinese Academy of Sciences

ISBN: (纸本)9781538694091;9781538694084

This paper reports a novel electrochemical method for the detection of insulin in ultra-pure water. A screen printed electrode (SPE) modified by Nickel hydroxide was used as the working electrode, one with good activity of electro-catalytic oxidation-reduction for insulin. The SPE was modified by Nickel hydroxide using the electrodeposition method. The results showed that Nickel hydroxide was homogeneously electrodeposited on the surface of the working electrode. A coin-size electrolytic tank was fabricated with PDMS, which only requires 0.3ml of sample for the detection. The concentration of insulin was analyzed using the methods of Cyclic voltammetry (CV), Electrochemical impedance spectroscopy (EIS) and Chronoamperometry (i-t). The Nickel hydroxide used for detecting insulin showed good analytical characteristics, such as a high sensitivity of 14.797μA·μM -1 , a good linear detection range of 100nM-5μM, and a low detection limit of 93nM. This nickel hydroxide modified SPE electrode has a much smaller size and is easier to fabricate than traditional electrodes, making it a much more promising candidate for an insulin sensor.

关键词： Electrodes Insulin Nickel Oxidation Sensitivity Surface treatment Diabetes

来源：评论

学校读者我要写书评

暂无评论

Looseness Detection of Rail Fasteners Using MEMS Sensor and Power Spectrum Entropy

Looseness Detection of Rail Fasteners Using MEMS Sensor and ...

引用

International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)

作者： Hao Sun Zhikun Zhan Hongyu Zhang Junshan Liu Xiaopeng Sha Xiaodong Yu Jianing Yu Yuliang Zhao Lianqing Liu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China State key Laboratory of Robotics Chinese Academy of Sciences

ISBN: (纸本)9781538694091;9781538694084

Rail fasteners, a key component of a railway track, are used to connect the rail and the sub-rail foundation together with the required degree of elasticity. Severely loose or failed fasteners may lead to serious safety hazards for rail transportation. However, current strategies for determining fastener looseness are mainly implemented manually, which is labor-intensive, inefficient and less-than-objective. In this paper, we propose a system that uses a MEMS acceleration meter and a wireless data transmission technique to detect railway fasteners. Vibration was generated by hitting the rail with a hammer. Then the acceleration data was transmitted to the cloud by the Global System for Mobile Communications (GSM) technique. The fastener looseness was analyzed using power spectrum entropy and frequency domain analysis. Results from the field experiments show that our method can identify the fastener's loosening state accurately and automatically. This wireless, low-cost fastener inspection system is expected to provide an effective approach to improving the efficiency of regular railway maintenance..

关键词： Conferences Artificial intelligence Medical services Robot sensing systems IP networks

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：