Structural Analysis Approach to Fault Diagnosis with Application to Fixed-wing Aircraft Motion by Roozbeh Izadi-Zamanabadi Department of Control Engineering.

Slides:

Advertisements

Similar presentations

An Overview of ABFT in cloud computing

Advertisements

A Technique for Parallel Reachability Analysis of Java Programs Raghuraman R. Sridhar Iyer G. Sajith.

Dependence Analysis in Reduction of Requirement Based Test Suites Boris Vaysburg Luay Tahat Bogdan Korel Computer Science Department Bell Labs Innovations.

1/20 Generalized Symbolic Execution for Model Checking and Testing Charngki PSWLAB Generalized Symbolic Execution for Model Checking and Testing.

Fault Detection in a HW/SW CoDesign Environment Prepared by A. Gaye Soykök.

Decision Making: An Introduction 1. 2 Decision Making Decision Making is a process of choosing among two or more alternative courses of action for the.

GMSM Mission and Vision Jennie Watson-Lamprey October 29, 2007.

A New Block Based Motion Estimation with True Region Motion Field Jozef Huska & Peter Kulla EUROCON 2007 The International Conference on “Computer as a.

D Nagesh Kumar, IIScOptimization Methods: M1L1 1 Introduction and Basic Concepts (i) Historical Development and Model Building.

1 Static Testing: defect prevention SIM objectives Able to list various type of structured group examinations (manual checking) Able to statically.

Prediction Basic concepts. Scope Prediction of:  Resources  Calendar time  Quality (or lack of quality)  Change impact  Process performance  Often.

School of Computing and Engineering Diagnostic Engineering Research Group Diagnosis and Prognosis of Machinery Health based on Advanced Intelligent Computations.

CSE 300: Software Reliability Engineering Topics covered: Software metrics and software reliability Software complexity and software quality.

The Islamic University of Gaza Faculty of Engineering Numerical Analysis ECIV 3306 Introduction.

Linear Programming General Form of an LP Model. Linear Programming General Form of an LP Model where the c’s, a’s and b’s are constants determined from.

An Introduction to Software Visualization Dr. Jonathan I. Maletic Software DevelopMent Laboratory Department of Computer Science Kent State University.

Strategies to relate the program and problem domains using code instrumentation Mario Marcelo Berón University of Minho Pedro Rangel Henriques University.

4-2 Make a function table and a graph for the function y = –9x2. Is the function linear or nonlinear? Step 1 Make a function table using the rule y =

DVMM Lab, Columbia UniversityVideo Event Recognition Video Event Recognition: Multilevel Pyramid Matching Dong Xu and Shih-Fu Chang Digital Video and Multimedia.

THE FOUNDATION OF ENGINEERING CALCULATE REALIZATION BY MEANS OF CAE SYSTEMS IN FORGING AREA Ing. Jozef Kuba, PhD. University of Žilina, Faculty of Mechanical.

BACHELOR OF ARTS IN ECONOMICS Econ 114 – MATHEMATICAL ECONOMICS Pangasinan State University Social Science Department CHAPTER 1 INTRODUCTION TO MATHEMATICAL.

INTRODUCTION TO EMBEDDED SYSTEMS INTERFACING TO THE FREESCALE 9S12 Power Point Presentation Local Variables and Parameter Passing 8-1.

Statistical Modeling with SAS/STAT Cheng Lei Department of Electrical and Computer Engineering University of Victoria April 9, 2015.

SIMULATION MODELLING OF THE RAILWAY VEHICLE GUIDANCE MECHANISM Priya Parthasarathy Supervisors- Dr.Christopher Ward Dr.Roger Dixon UKACC PhD Presentation.

Structural analysis Supervisory control slides Control Engineering Department 2006.

R E F R I G E R A T I O N A N D A I R C O N D I T I O N I N G 1 Central R&D at Danfoss Operation Innovation Claus Thybo RA-DP January 2006.

Introduction to the Electronic Spreadsheet Project C&I235M Spring 2004.

DMCS W.Cichalewski Aug 17 th 1 FLASH - klystron 2 and klystron 5 nonlinearities and linearisation MSc Wojciech CICHALEWSKI.

The model of the procedural simulator for the UAV’s operators training (Модель процедурного тренажеру для підготовки операторів безпілотних літальних апаратів)

Data Tagging Architecture for System Monitoring in Dynamic Environments Bharat Krishnamurthy, Anindya Neogi, Bikram Sengupta, Raghavendra Singh (IBM Research.

Jorge Almeida Laser based tracking of mutually occluding dynamic objects University of Aveiro 2010 Department of Mechanical Engineering 10 September 2010.

Digital Media Lab 1 Data Mining Applied To Fault Detection Shinho Jeong Jaewon Shim Hyunsoo Lee {cinooco, poohut,

Zibin Zheng DR 2 : Dynamic Request Routing for Tolerating Latency Variability in Cloud Applications CLOUD 2013 Jieming Zhu, Zibin.

Optimal Repair Strategy for Rotables during Phase-out of an Aircraft Fleet NAME: DATE: Jan Block, Support & Services, Luleå University of Technology

EXPERT SYSTEMS PRESENTED BY SEMINAR REPORT ON Mr. MRINMOY JANA SEMINAR REPORT ON.

Scene Reconstruction Seminar presented by Anton Jigalin Advanced Topics in Computer Vision ( )

Principles of Radar Target Tracking The Kalman Filter: Mathematical Radar Analysis.

Working Drawings Introduction To Technology Shenendehowa High School

Discovery and Systems Health Technical Area NASA Ames Research Center - Computational Sciences Division Automated Diagnosis Sriram Narasimhan University.

A Two-Phase Linear programming Approach for Redundancy Problems by Yi-Chih HSIEH Department of Industrial Management National Huwei Institute of Technology.

Modeling & Simulation of Dynamic Systems (MSDS)

Scientific Method Mr. Chon / Science. Introduction Includes purpose Includes purpose What will you learn from this experiment? What will you learn from.

The Utilization of Artificial Intelligence in a Hybrid Intrusion Detection System Authors ： Martin Botha, Rossouw von Solms, Kent Perry, Edwin Loubser.

Browsing through an Information Visualization Design Space using ILOG Discovery Thomas Baudel InfoViz /10/04.

Graph Review  Skills Needed –Identify the relationship in the graph –Identify the independent variable –Identify the dependent variable.

SOLVING SINGLE EQUATIONS Engineers are often required to solve complicated algebraic equations. These equations may represent cause-and-effect relationships.

A PID Neural Network Controller

Modelling & Simulation of Semiconductor Devices Lecture 1 & 2 Introduction to Modelling & Simulation.

Wolfgang Runte Slide University of Osnabrueck, Software Engineering Research Group Wolfgang Runte Software Engineering Research Group Institute.

Objectives: Graph (and write) inequalities on a number line.

State Space Representation

Fault Tree Analysis Based on Dynamic Uncertain Causality Graph

Linear Inequalities in Two Variables

Your fancy scientific title goes here

The Systems Engineering Context

Data Mining using Tanagra and Rattle

Warm Up Graph y = 4x and 16, $10’s and 7 $20’s.

Nonlinear dynamic process monitoring using kernel CVA

State Space Analysis UNIT-V.

Software Verification and Validation

Software Verification and Validation

The Organizational Impacts on Software Quality and Defect Estimation

Warm Up Graph y = 4x and 16, $10’s and 7 $20’s.

Graph Review Skills Needed Identify the relationship in the graph

Software Verification and Validation

Graphic and Other Object in Origin

Linear and Nonlinear Systems of Equations

LINEAR & QUADRATIC GRAPHS

GRAPHING LINEAR EQUATIONS

Linear and Nonlinear Systems of Equations

Presentation transcript:

Structural Analysis Approach to Fault Diagnosis with Application to Fixed-wing Aircraft Motion by Roozbeh Izadi-Zamanabadi Department of Control Engineering Aalborg University

Introduction Problem: Given a system, consisting of a set of components, we would like to develope a method to analyse the system and determine the possibility of detecting different faults under the following conditions, System parameters are not known Linear as well as nonlinear dynamics Complexity (large systems)

Structural model representation Consider the system as a set of components, each imposing a relation, f i between a set of variables z j. System:

Structural model representation 2 Systems structural graph is a tripartite directed graph:

Matching concept The main purpose of developing a matching algorithm is to identify the over-determined part of the system. The principle of matching algorithm:

Conclusions A general structural model representation for systems (linear- nonlinear) Fault diagnosis can be handled. Is supported by dedicated software tool (developed at AUC). The method can be used at differents stages of design period.