检索结果-南通市图书馆

fault isolation for Light Rail Vehicle Suspension System based on Multi-sensor Information Fusion 25th

在线全文

cnki会议

学校读者我要写书评

暂无评论

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

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

fault isolation and estimation for non-Gaussian stochastic distribution control systems based on T-S fuzzy model

在线全文

cnki会议

学校读者我要写书评

暂无评论

Fault isolation and estimation for non-Gaussian stochastic d...

第36届中国控制会议

作者： Lina Yao Yanna Zhang School of Electrical Engineering Zhengzhou University

ISBN: (纸本)9781538629185

A Takagi-Sugeno（T-S） fuzzy model is applied to approximate the nonlinear dynamics of stochastic distribution control（SDC） systems,in which linear radial basis function（RBF） net work is adopted to approximate the output probability density function（PDF） for non-Gaussian SDC *** the situation that disturbance and multiple actuator faults may occur at the same time,fault detection,isolation and estimation is *** decoupling is realized by using nonsingular linear coordinate *** order to determine the fault location and structure,multiple transformation matrices are designed to divide the system into two *** of the subsystems contains only one actuator fault,which facilitates the fault isolation and estimation *** this paper,the earliest time fault occurred and fault location is *** adaptive observers for fault estimation are given *** using the Lyapunov stability theorem the observation error dynamic system is proved *** observer parameters are determined by ***,computer simulation results show the effectiveness of the proposed algorithm.

关键词： T-S fuzzy model Linear RBF SDC systems PDF fault isolation fault estimation

A Nonnegative Garrote-based Method for Multivariate fault isolation

在线全文

cnki会议

学校读者我要写书评

暂无评论

A Nonnegative Garrote-based Method for Multivariate Fault Is...

第36届中国控制会议

作者： Yi-Min Guo Jian-Guo Wang Bang-Hua Yang Shi-Wei Ma Min-Rui Fei Li-Lan Liu Hui Xu Yuan Yao Yi-Ping Wu School of Mechatronical Engineering and Automation Shanghai UniversityShanghai Key Lab of Power Station Automation Technology Department of Chemical Engineering National Tsing-Hua University Shanghai Baosight Software Co Ltd

ISBN: (纸本)9781538629185

fault isolation is an essential step in multivariate statistical process monitoring,which discovers the cause of the detected *** common adopted techniques for fault isolation,such as contribution plots,reconstruction analysis,branch and bound,etc.,often suffer from the problems of the smearing effect,insufficient historical fault data,and heavy computational *** this paper,the nonnegative garrote（NNG） estimator is utilized for multivariate statistical fault isolation,which solves the problems of the existing *** proposed method is based on the finding that there is equivalence between fault isolation and variable selection in discriminant *** from the existing methods,the NNG-based fault isolation method does not suggest a single set of faulty ***,it provides a sequence of process variables according to their responsibilities for the detected *** results are informative for diagnosing the root cause of the fault.

关键词： fault isolation Variable selection Nonnegative garrote Process monitoring

fault isolation of air handling unit based on neural network

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Southeast University(English Edition) 2010年第2期26卷 355-358页

作者：杜志敏晋欣桥杨学宾范波上海交通大学制冷与低温工程研究所上海200240

Aiming at various faults in an air conditioning system,the fault characteristics are *** influence of the faults on the energy consumption and thermal comfort of the system are also *** simulation results show that the measurement faults of the supply air temperature can lead to the increase in energy *** to the fault characteristics,a data-driven method based on a neural network is presented to detect and diagnose the faults of air handling ***,the historical data are selected to train the neural network so that it can recognize and predict the operation of the ***,the faults can be diagnosed by calculating the relative errors denoting the difference between the measuring values and the prediction ***,the fault diagnosis strategy using the neural network is validated by using a simulator based on the TRNSYS *** results show that the neural network can diagnose different faults of the temperature,the flow rate and the pressure sensors in the air conditioning system.

关键词： air handling unit fault characteristics fault isolation neural network

ASCS Online fault Detection and isolation Based on an Improved MPCA

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2014年第5期27卷 1047-1056页

作者： PENG Jianxin LIU Haiou HU Yuhui XI Junqiang CHEN Huiyan Science and Technology on Vehicle Transmission Laboratory Beijing Institute of Technology The State Key Laboratory of the Vehicle Transmission China North Vehicle Research Institute

Multi-way principal component analysis（MPCA）has received considerable attention and been widely used in process monitoring.A traditional MPCA algorithm unfolds multiple batches of historical data into a two-dimensional matrix and cut the matrix along the time axis to form ***,low efficiency of subspaces and difficult fault isolation are the common disadvantages for the principal component *** paper presents a new subspace construction method based on kernel density estimation function that can effectively reduce the storage amount of the subspace *** MPCA model and the knowledge base are built based on the new ***,fault detection and isolation with the squared prediction error（SPE）statistic and the Hotelling（T2）statistic are also realized in process *** a fault occurs,fault isolation based on the SPE statistic is achieved by residual contribution analysis of different *** fault isolation of subspace based on the T2 statistic,the relationship between the statistic indicator and state variables is constructed,and the constraint conditions are presented to check the validity of fault ***,to improve the robustness of fault isolation to unexpected disturbances,the statistic method is adopted to set the relation between single subspace and multiple subspaces to increase the corrective rate of fault *** fault detection and isolation based on the improved MPCA is used to monitor the automatic shift control system（ASCS）to prove the correctness and effectiveness of the *** research proposes a new subspace construction method to reduce the required storage capacity and to prove the robustness of the principal component model,and sets the relationship between the state variables and fault detection indicators for fault isolation.

关键词： multi-way principal component analysis(MPCA) fault detection fault isolation automatic shift control system

Study of Test Flow Optimization Method in Radar fault isolation

在线全文

学校读者我要写书评

暂无评论

Journal of Electronic Science and Technology of China 2009年第4期7卷 395-398页

作者： Zhi-Hua Li Qing Zheng Xiao-An Song College of Electrical Engineering Hohai University Nanjing 210098 China Song are with Nanjing Research Institute of Electronics Technology Nanjing 210013 China

In order to optimize test flow after the default flow is modified by a tester, a new software framework for the radar fault isolation is illustrated. This framework separates all mapping algorithms from test flows so as to modify flow and to insert mapping algorithm dynamically in testing process. Based on this framework, a kind of optimization method of test flow is proposed and studied. By defining an objective function, we can evaluate all candidate test flows so as to get an optimized flow. An example explains how to search the flow from candidate flows.

关键词： Automatic test fault isolation optimi- zation radar software framework.

Improved RBF network application in analog circuit fault isolation

在线全文

学校读者我要写书评

暂无评论

Journal of Measurement Science and Instrumentation 2012年第1期3卷 70-74页

作者：禹航肖明清赵鑫 ATS Lab Engineering CollegeAir Force Engineering University

One kind of steepest descent incremental projection learning algorithm for improving the training of radial basis function(RBF)neural network is proposed,which is applied to analog circuit fault *** algorithm simplified the structure of network through optimum output layer coefficient with incremental projection learning(IPL)algorithm,and adjusted the parameters of the neural activation function to control the network scale and improve the network approximation *** to the traditional algorithm,the improved algorithm has quicker convergence rate and higher isolation *** results show that this improved RBF network has much better performance,which can be used in analog circuit fault isolation field.

关键词： analog circuit fault isolation RBF network IPL algorithm steepest descent algorithm

A fault isolation EXPERT SYSTEM FOR ENGINE INDICATION AND CREW ALERTING SYSTEM

在线全文

学校读者我要写书评

暂无评论

Transactions of Nanjing University of Aeronautics and Astronautics 1998年第1期15卷 48-52页

作者：杨忠刘正埙左洪福吴惠祥南京电力高等专科学校动力系南京航空航天大学机电工程学院

This paper is devoted to develop an expert system to manage the fault isolation and maintenance knowledge of the engine indication and crew alerting system (EICAS). The object oriented programming (OOP) technique and the microsoft foundation class (MFC) are applied to set up a frame decision tree (FDT) which incorporates the expert system′s knowledge base, inference engine and user interface. Once a fault symptom indicated by the EICAS is input, by inferring step by step, the expert system can locate it in the engine and provide some homologous constructive maintenance advice.

关键词： expert system object oriented engine fault isolation

Short-circuit fault analysis and isolation strategy for matrix converters

在线全文

学校读者我要写书评

暂无评论

Journal of Central South University 2015年第9期22卷 3458-3470页

作者：王莉娜 L.De Lillo C.Brunson L.Empringham P.Wheeler School of Automation Science and Electrical Engineering Beihang University Department of Electrical and Electronic Engineering The University of Nottingham

The behavior of matrix converter(MC) drive systems under the condition of MC short-circuit faults is comprehensively investigated. Two isolation strategies using semiconductors and high speed fuses(HSFs) for MC short-circuit faults are examined and their performances are compared. The behavior of MC drive systems during the fuse action time under different operating conditions is explored. The feasibility of fault-tolerant operation during the fuse action time is also studied. The basic selection laws for the HSFs and the requirements for the passive components of the MC drive system from the point view of short-circuit faults are also discussed. Simulation results are used to demonstrate the feasibility of the proposed isolation strategies.

关键词： matrix converter short-circuit fault fault analysis fault behavior fault isolation