Dissertation > Excellent graduate degree dissertation topics show
Fault Diagnosis Method Study of a Class Nonlinear Systems
Author: LiZuoLun
Tutor: ZuoWei
School: Xi'an University of Architecture and Technology
Course: Systems Engineering
Keywords: nonlinear system fault diagnosis three-tank rough set observers
CLC: TP206.3
Type: Master's thesis
Year: 2013
Downloads: 16
Quote: 0
Read: Download Dissertation
Abstract
|
The rised emergence and rapid development of fault diagnosis technology is theresult of practical application and multidisciplinary development. This paper baesed onthe two major method of diagnosis the fault of nonlinear system. It takes two methodfrom each major method, and does some research about the rough set method and therobust observer method. At last, using the two method to diagnosis the fault of samenonlinear system.The major contents and conclusions can be summarized as follow:The development status and existing hotspot problems of the fault diagnosis ofnonlinear system are investigated, and summarized the features and problems in thisfield. This paper take the two representative method of the fault diagnosis of nonlinearsystem with an in-depth study.This paper construct the three-tank model baesd on the rough set method afterstudying the the rough set theories. this model combine with the configuration software.it can diagnosis the fault of three-tank and display the fault information on theconfiguration interface.According to the nonlinear system characteristics of three-tank, linearized thesystem at operating point. And using it combine with the features of the robust observer.According to inhibit other faults to turn highlight the feature of the fault, this can designan robust observer. This method is applied the diagnosis fault of three-tank, andsimulating to illustrate its effectiveness.
|
Related Dissertations
- Design and Development of Application Programme for Fault Analyzer Based on Wince Platform,TP311.52
- Research on the 6-Dof Fault Tolerant Control of the Vibration Isolation Platform with Eight Actuators,TB535.1
- Study on Nonlinear Variable Structure Guidance Law,TJ765
- Fault Diagnosis Method Based on Support Vector Machine,TP18
- Robust Model Predictive Control of Networked Systems,TP273
- Fault Diagnosis Research on Three-Tank System,TP277
- Research on the Key Technology of Waterborne Transport Security System,U698
- Research of Support Vector Machine Based Fault Diagnosis System,TH165.3
- Steam Turbine Thermal Analysis and Modeling Principles and Operation Fault Diagnosis,U664.113
- Design and Simulation on Topology Reconstruction Scheme in Ad Hoc Networks,TN929.5
- Predictive of Gas Emission Based on CIPSO-ENN Coupled Algorithm,O242.1
- The Method of Transient Modeling and Parameter Identification and Its Application in Rotating Machine Fault Diagnosis,TH165.3
- On Filtering Algorithm of UKF Based GPS/DR Integrated Vehicle Navigation System,TN967.2
- The Research of Three Tank Water Control System Based on Fuzzy Neural Network PID,TP273
- Research on the Evaluation for Supplier Risk Based on Rough Sets and the Fuzzy Comprehensive Evaluation,F274
- Study on Intelligent Diagnosis of Measuring Radar,TN957
- The Research of Intelligent Reagent Feeding Control in Anionic Reverse Flotation Process,TD923
- Research and Application of BP Neural Network PID Control Algorithm in Three Tank System,TP273
- Research on Intelligent Fault Diagnosis and Fault-tolerant Control for Affine Nonlinear Systems,TP13
- Research of Fault Diagnosis Method Based on Kernel Partial Least Squares,TP277
- Development of Fault Diagnosis System for Turbine Shaft Based on Neural Network,TK267
CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > General issues > Adjustment of test > Failure prediction , diagnosis and troubleshooting
© 2012 www.DissertationTopic.Net Mobile
|