检索结果-内蒙古大学图书馆

International Conference on Computational intelligence and Security

作者： Guo Xie Dan Zhang Xinhong Hei Fucai Qian School of Automation and Information Engineering Xi'an University of Technology Xi'an China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University China Beijing China School of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (纸本)9781479974351

Previous efforts have mainly been made on Linear Quadratic Gaussian (LQG) control problem with parameter uncertainties. However, in practice the change of system environment and parameters usually leads to the change of system structure. On the basis of a receding horizon strategy forth LQG control problem with unknown parameters, this paper provides a solution to LQG control problems which involve both parameter and structure uncertainties. When system parameters are estimated and updated gradually, this method considers the impact of the change of system structure on the performance index. It realizes parameters estimation based on posterior probability by Bayesian theorem, eliminates the correlation between system structures by changing the weighted symmetric matrices, obtains control gain minimizing the performance index and learns the future information at the same time. Finally, simulation results illustrate the effectiveness and accuracy of the proposed method.

关键词： Uncertainty Filtering Performance analysis Optimal control Mathematical model Symmetric matrices Process control

来源：评论

学校读者我要写书评

暂无评论

Quantitatively Analysis of Train Communication Network Based on Multi-attribute Utility Function

Quantitatively Analysis of Train Communication Network Based...

引用

17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Honghui Dong Xianpeng Xia Limin Jia Yin Tian Haijian Li Junqing Tang Yong Qin State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies School of Traffic and Transportation Beijing Jiaotong University College of Metropolitan Transportation Beijing University of Technology

In order to reasonably and quantitatively assess the performance of the train communication network under multi-factors and multi-services,this paper chooses the network time delay,bandwidth and packet loss rate as the indicators of network *** this paper,services in the train communication network have been divided into six classes according to their characteristics and *** paper proposes utility functions model to describe the performance of each selected indicators under different services and then applies the model to evaluate the performance of each service and the train communication ***,using the measured data,it turns out that utility functions can be effectively used to evaluate the quality of services and the performance of the network.

关键词： service Quantitatively Analysis of Train Communication Network Based on Multi-attribute Utility Function

来源：评论

学校读者我要写书评

暂无评论

Monitor-based Temporal Properties Checking of Train control Systems with Quantitative Constraints

Monitor-based Temporal Properties Checking of Train Control ...

引用

17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Lin Zhao Ming Chai Yang Liu State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Department of Computer Humboldt University BerlinBerlin D-10099Germany School of Electronics and Information Engineering Beijing Jiaotong University

As train control systems being more complex and intelligent,ensuring their correctness and safety becomes increasingly *** paper proposes a monitor-based approach to checking a system against its formal requirements with quantitative temporal constraints at *** approach may complement the current use of conventional verification techniques,and also opens up the possibility to act whenever incorrect system behaviors are *** studies from train control domain show that our runtime properties checking technique could be applied online to provide extra guarantees for a running system,or applied during development to find bugs.

关键词： cycle Monitor-based Temporal Properties Checking of Train control Systems with Quantitative Constraints

来源：评论

学校读者我要写书评

暂无评论

Fault Isolation for Light rail Vehicle Suspension System based on Multi-sensor Information Fusion

Fault Isolation for Light Rail Vehicle Suspension System bas...

引用

第25届中国控制与决策会议

作者： Xiukun Wei Kun Guo Hai Liu Limin Jia State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Traffic and transportation Beijing Jiaotong University

ISBN: (纸本)9781467355322

In this paper, fault isolation issue for Light rail Vehicle suspension system based on multi-sensor information fusion is discussed. The faults considered are the vertical damper fault and the vertical spring fault in suspension systems. The Eros is applied for similarity measurement in the fault feature database, Fast Fourier Transformation for nine sensor outputs equipped on the vehicle. After the belief function assignments are obtained by using Eros method, the belief function assignments are fused by using the rules of D-S evidence combination and the faulty component is determined and isolated. The effectiveness of the proposed method is demonstrated by a case study.

关键词： Light rail vehicle suspension system, Fault isolation, D-S evidence theory and Multi-sensor information fusion

来源：评论

学校读者我要写书评

暂无评论

rail Vehicle Ride Comfort Prediction Based on Bogie Acceleration Measurements

Rail Vehicle Ride Comfort Prediction Based on Bogie Accelera...

引用

第25届中国控制与决策会议

作者： Xiukun Wei Yan Liu Qu Sun Limin Jia Yuting Wang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Automation and Electrical Engineering University of Scinence&Technology Beijing

ISBN: (纸本)9781467355339

Ride comfort is one of the most significant dynamic performance characteristics of railway vehicles. It is imperative to monitor and predict the vehicle ride comfort online especially for modern rail vehicles. In this paper, an innovative online rail vehicle ride comfort prediction method is proposed. By using the acceleration measurements from the sensors equipped on the bogies, the dynamical acceleration of the carbody is estimated by using principle component analysis (PCA) and partial least square (PLS) techniques. The ride comfort is further calculated by using the estimated three way acceleration signals. The proposed method is validated by using the professional rail vehicle simulation software, SIMPACK.

关键词： Ride comfort, Partial least square, Acceleration and Band-pass filter

来源：评论

学校读者我要写书评

暂无评论

Short-term traffic Flow Forecasting Model Based on Wavelet Neural Network

Short-term Traffic Flow Forecasting Model Based on Wavelet N...

引用

第25届中国控制与决策会议

作者： Junwei Gao Ziwen Leng Yong Qin Zengtao Ma Xin Liu College of Automation Engineering Qingdao University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Qingdao Hisense TransTech Co. Ltd.

ISBN: (纸本)9781467355339

Short-term traffic flow forecasting plays an important role in the urban traffic control and guidance system. In the paper, the advantages of wavelet transform and artificial neural network are introduced. Focusing on the characteristics of time-variation and uncertainty of urban traffic flow, the paper adopts the combination of wavelet analysis and artificial neural network, establishes the short-term traffic flow forecasting model of wavelet neural network (WNN) and carries out independent test by rolling forecasting based on the measured data from traffic library. Simulation results indicate that, compared with the forecasting model of BP neural network, the WNN model has better forecasting precision and faster convergence speed, and wavelet neural network could be better applied in the short-term forecasting of traffic flow.

关键词： traffic flow, Short-term forecasting, Wavelet transform, Wavelet neural network

来源：评论

学校读者我要写书评

暂无评论

Short-term Forecasting Model of traffic Flow Based on GRNN

Short-term Forecasting Model of Traffic Flow Based on GRNN

引用

第25届中国控制与决策会议

作者： Ziwen Leng Junwei Gao Yong Qin Xin Liu Jing Yin College of Automation Engineering Qingdao University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Qingdao Hisense TransTech Co. Ltd.

ISBN: (纸本)9781467355339

Urban traffic flow has the characteristics of nonlinearity and time-variation, and how to accurately forecast short-term traffic flow has been an essential part in traffic field. Taking advantage of the Generalized Regression Neural Network （GRNN）, the paper establishes the short-term forecasting model of traffic flow based on GRNN. The GRNN model selects the cross validation algorithm to train the network, takes the root mean square of forecasting error as the evaluation criterion of the network to determine the smoothing factor and uses the method of rolling forecasting to forecast the traffic flow. Compared with the forecasting models of RBF and BP neural network, GRNN has stronger approximation capability and higher forecasting accuracy.

关键词： traffic flow GRNN Short-term forecasting Cross validation

来源：评论

学校读者我要写书评

暂无评论

Research on the Prediction Model for the Security Situation of Metro Station Based on PSO/SVM

引用

Journal of Intelligent Learning Systems and Applications 2013年第4期5卷 237-244页

作者： Yong Qin Zhenyu Zhang Bo Chen Zongyi Xing Jing Liu Jun Li Guangzhou Metro Corporation Guangzhou China. School of Automation Nanjing University of Science and Technology Nanjing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Tianjin Metro Operation Co. Ltd. Tianjin China

Security situation awareness is a new technology about security. This paper brings it to the assessment of security situation of metro station which serves as a new way to secure the security of passengers as well as the operation of the metro station. This paper sets up an index system for assessing the security situation awareness and makes a prediction model for the security situation of metro station based on PSO/SVM after doing lots of researches and analyses. Furthermore, through case studies, we find that the model has high accuracy and ability to accurately predict the security situation of metro station in the future and a certain practical value.

关键词： Situation Awareness Situation Prediction Index System PSO SVM

来源：评论

学校读者我要写书评

暂无评论

Reliability prediction of urban rail transit vehicle based on BP neural network

引用

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2013年第SUPPL.1期44卷 42-46页

作者： Li, Jianwei Cheng, Xiaoqing Qin, Yong Zhang, Yuan Xing, Zongyi School of Mechanical Engineering Nanjing University of Science and Technology Nanjing 210094 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China School of Automation Nanjing University of Science and Technology Nanjing 210094 China

As the traditional reliability prediction methods for nonlinear fault data are poor, BP neural network was applied to predict the reliability of urban rail transit vehicles. Firstly, the common reliability index and the reliability prediction models were introduced. Then a three layers model of BP neural network was built. In the model, the S-shaped tangent function was used in the input layer to the middle layer, while linear function was used in the middle layer to the output layer. Also in the model, Levenberg-Marquadt back-propagation algorithm was used as the learning function. Finally, the Guangzhou subway fault data was used for simulation analysis. The results show that the prediction is accurate and the correlation coefficient can reach 0.90069.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Sliding plug door system reliability analysis based on fuzzy fault tree

引用

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2013年第SUPPL.1期44卷 310-314页

作者： Liu, Ping Cheng, Xiaoqing Qin, Yong Zhang, Yuan Xing, Zongyi School of Mechanical Engineering Nanjing University of Science and Technology Nanjing 210094 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China School of Automation Nanjing University of Science and Technology Nanjing 210094 China

The fault tree of the sliding plug door of the subway vehicle was developed with the given undesired event based on the fundamental component failure mode analysis and the theory of FTA (fault tree analysis). Firstly, the failure data of most basic events was collected. Secondly, the probability fuzzy numbers were generated for each bottom event based on fuzzy mathematical theory, as it was difficult to gather exact failure data for the components under uncertain situations. Finally, an algorithm to determine the importance degree of the bottom events was presented to find the critical components in the system. The results show that the EDCU, position-limiting switches, nuts assembly and the locking mechanism are important factors affecting the door reliability, which provides the basis of data analysis for improving reliability of the subway door operation.

关键词： Fault tree analysis

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：