Intelligent system for fault diagnosis in automotive applications [Elektronische Ressource] / vorgelegt von Mashud Kabir

Administrator

Sujets

• Informatik

Informations

• Publié par: eberhard_karls_universitat_tubingen
• Publié le: 01 janvier 2009
• Nombre de lectures: 12
• Langue: English

Extrait

Intelligent System for Fault Diagnosis in
Automotive Applications




Dissertation
der Fakultät für Informations- und Kognitionswissenschaften
der Eberhard-Karls-Universität Tübingen
zur Erlangung des Grades eines
Doktors der Naturwissenschaften
(Dr. rer. Nat.)





vorgelegt von
M.Sc./Dipl.–Ing. Mashud Kabir
aus Bangladesh




Tübingen
2008


Intelligent System for Fault Diagnosis in Automotive Applications



























Tag der mündlichen Qualifikation: 19.12.2008

Dekan: Prof. Dr.-Ing. Oliver Kohlbacher

1. Berichterstatter: Prof. Dr. Herbert Klaeren

2. Berichterstatter: Prof. Dr. Wolfgang Rosenstiel











1 Intelligent System for Fault Diagnosis in Automotive Applications
Acknowledgements

I would like to thank my adviser Prof Dr Herbert Klaeren for his guidance, help and regular
feedback for this work. It would have not been possible to finish my work without his
professional mentorship. I would also like to thank Prof Dr Wolfgang Rosenstiel to review my
dissertation work. It is my pleasure to thank Dr. Uwe Roettgermann of BMW for his help to build
up the defect database and his feedback on my work. I would also like to thank my mother
Mamtaj Begum and father Wali Ullah for their confidence and encouragement in achieving my
goal. I thank all of my family members who were always supportive during my work.






































2 Intelligent System for Fault Diagnosis in Automotive Applications
Abstract

This work presents an intelligent system for fault diagnosis in automotive applications. The
system is proposed to handle faults in a running car as well as in a car which is in the process of
being developed. The main goal of this work is to use the vast knowledge previously acquired by
system experts, to visualize, localize and fix a fault in any of the life phases of a car. The existing
techniques and systems which are in use for fault diagnosis are investigated. There is no system
which can be used in all of the phases of a car life. The newly proposed system, which will be
discussed in this study, overcomes this limitation. Infotainment system in automotive areas is a
new area of development. This system is adapted to the new infotainment system requirements.
Optimized techniques in different stages in fault handling are proposed. Probable fixing solutions
are provided for a fault by making use of the latest technologies. The quality of the results is
assessed and the importance and appropriateness of the system especially for automotive
infotainment system is demonstrated.




























3 Intelligent System for Fault Diagnosis in Automotive Applications
Table of Contents

Chapter1 Introduction………………………………………………………………………7


Chapter 2 Related Work…………………………………………………………………….9

2.1 Definitions of Common Terms…………………………………………………..9

2.2 Necessity of Automated Fault Handing………………………………………….9

2.3 Infotainment System Description………………………………………………..9

2.3.1 Database System…………………………………………………………………9

2.3.2 Infotainment Architecture………………………………………………………10

2.3.3 Measuring Tools………………………………………………………………..14

2.3.4 Communication Layers………………………………………………………....15

2.3.4.1 OSI Layer…………………………………………………………...…..15

2.3.4.2 Infotainment and Multimedia Layer…………………………………....17

2.4 Infotainment and Multimedia Features………………………………………....18

2.5 Fault Handling………………………………………………………………….18

2.5.1 Fault Description……………………………………………………………….19

2.5.2 Fault Classification……………………………………………………………..19

2.5.2.1 General Faults…………………………………………………………..19

2.5.2.2 Faults in Communication Systems……………………………….…….19

2.5.2.3 Fault Classifications of Automation Systems…………………….…....22

2.5.2.4 Common Failure Modes………………………………………….…....23

2.6 Acquiring Knowledge from Database…………………………………….…..24

2.7 Document Classification Method………………………………………….….26

2.8 Diagnosis………………………………………………………………….…...27
4 Intelligent System for Fault Diagnosis in Automotive Applications


Chapter 3 Fault Classification of Automotive Infotainment and Multimedia…….……...29

3.1 Fault Classification based on System Concept………………………….….....29

3.2 Fault Classification based on Origin…………………………………….….....31

3.3 Fault Classification based on Communication in MOST Network……….......33

3.4 Fault Classification based on Severity………………………………….…......35


Chapter 4 Fault Visualization in Automotive Infotainment System……………………..36

4.1 Views of Faults……………………………………………………………......36

4.2 Fault Classification based on Test Purposes………………………………….36

4.3 Combining Faults of Different Views…………………………………….......36

4.4 Fault Description Picture………………………………………………….......37

4.5 Fault Handling System……………………………………………………......40


Chapter 5 System Design Techniques…………………………………………………...42

5.1 Feature Selection……………………………………………………………..42

5.2 Pattern Recognition…………………………………………………………..42

5.3 Ranking Algorithms………………………………………………………….43

5.4 Similarity Matching…………………………………………………………..45

5.4.1 Matching Algorithms……………………………………………………........45

5.5 Similarity Determination…………………………………………………….47

5.6 Fuzzy Logic Based Fault Diagnostic System……………………………......50

5.7 Fuzzy System for Automotive Infotainment………………………………...53


Chapter 6 System Design and System Model……………………………………….....59

6.1 System Model……………………………………………………………….59
5 Intelligent System for Fault Diagnosis in Automotive Applications

6.2 System Design……………………………………………………………....59

6.3 Design Parameters…………………………………………………………..61

6.4 Assumptions…………………………………………………………….......63

6.5 Level of Confidence…………………………………………………….......64

6.6 Tuning Parameters……………………………………………………….....65


Chapter 7 Simulation and Result…………………………………………………........66

7.1 Fault Database………………………………………………………….......66

7.2 Simulation Results……………………………………………………….....69

7.3 Result Analysis…………………………………………………………......84

7.4 System Validation…………………………………………………………..89


Chapter 8 Conclusion and Future Work…………………………………………….....91


References…………………………………………………………………………….........93


Appendix I……………………………………………………………………………........99


Appendix II………………………………………………………………………..….......102








6 Intelligent System for Fault Diagnosis in Automotive Applications
Chapter 1

Introduction


Fault diagnosis has become a very important area of research during the last decade due to the
advancement of mechanical and electrical systems in industries. The automobile is a crucial field
where fault diagnosis is given a special attention. Due to the increasing complexity and newly
added features in vehicles, a comprehensive study has to be performed in order to achieve an
appropriate diagnosis model.

A diagnosis system is capable of identifying the faults of a system by investigating the observable
effects (or symptoms). The system is referred to as intelligent if it can provide similar diagnosis
results as a human expert could for the same fault. The Intelligent System categorizes the fault
into a diagnosis class and identifies a probable cause based on the supplied fault symptoms.

The development of diagnosis classes is done by making use of previous experience, knowledge
or information within an application area. The necessary information used may come from
several sources of knowledge, such as from system analysis.

In previous work many approaches have been proposed to develop a diagnosis system. For
example, Artificial Intelligence (AI) can contribute to the design of a fault detection and
diagnosis system. An appropriate approach to build up an Intelligent System is chosen based on
the nature of application knowledge.

The aim of this work is to develop an Intelligent System to diagnose faults. The complete
Infotainment & Multimedia System of a vehicle is chosen as an application of the Intelligent
Diagnosis System.

An appropriate scheme to describe faults in Infotainment & Multimedia must be