Design and Implementation of an Expert Management System for Automobile Fault Detection.
ABSTRACT
This project deals with the design and implementation of an expert system for car faults diagnosis. The project is motivated by the need to guide car owners and learners motor mechanics in the maintenance and troubleshooting of motor problems without having to resort to presumptions and conjectures.
Particularly, it is expected that the proposed design would ensure that car owners have proper assistance in times of crisis and what’s more will save them from the clutches of exploitative roadside mechanics.
For this purpose a rule- base artificial intelligence (AI) technique was utilized to obtain theoretical and practical expert system parameters, and then a conceptual expert system was designed.
The expert system functioning is based on the database of car faults, symptoms and their correction, which make up its knowledge base. The new system was developed using visual basic 6.0 programming language and access database.
TABLE OF CONTENTS
Title page i
Approval page ii
Dedication iii
Acknowledgement iv
Abstract v
Table of contents vi
CHAPTER ONE
1.0 Introduction 1
1.1 Background of the study 1
1.2 Problem statement 2
1.3 Objectives 3
1.4 Significance of the study 4
1.5 Scope of the study 5
1.6 Limitations 5
1.7 Methodology 5
CHAPTER TWO
2.1 Literature review 7
2.2 The Conceptual Structure of an Expert System 14
2.2.1 Problem Assessment 14
2.2.2 Knowledge Acquisition 15
2.2.3 Knowledge Representation 17
2.2.4 Verification 18
2.2.5 Validation 18
2.3 Testing Expert System 19
2.4 MYCIN 21
CHAPTER THREE
System analysis and design 27
3.0 Introduction 26
3.1 Weakness of the Present System 28
3.2 Methodology 28
3.3 Knowledge acquisition 28
3.3.1 Domain Expert 29
3.3.2 Interview 29
3.3.3 Consultation 29
3.3.4 Diagnosis 32
3.3.5 Correction/ explanation 32
3.4 System Design 33
3.4.1 Rule based development method 34
3.4.2 Inference technique 36
3.4.3 Flowchart of the proposed program 38
3.5 Program design 39
3.5.1 High level model of the proposed system 40
CHAPTER FOUR
4.0 System implementation 41
4.1 Introduction 41
4.2 System requirement 42
4.3 Testing 42
4.4 Maintenance 43
4.5 Program Documentation 44
4.5.1 Sample input/output data formats 45
4.5.2 Loading the package 46
4.5.3 Exiting 47
CHAPTER FIVE
5.0 Summary, Recommendation and conclusion 48
5.1 Summary 48
5.2 Recommendation 49
5.3 Conclusion 49
References 66
INTRODUCTION
In present time most households own at least one car. This figure shows that a car is very important to people’s lives as it completes the cycle of living.
This computer expert system is hoped to help those who are in need of guides to deal with their cars problems.
Although it might not give a complete guide and help as a human expert, namely mechanics, at least the expert system can give temporary assistance to those who are in need of instant help, as a result of the limitation of time and distance.
REFERENCES
Adams, R & Bath N,(1999). An expert system based algorithm for short load forecast. Texas USA; Swat Press.
AEC (Architectural Energy Corporation). 2003. Final Report: Energy efficient and affordable commercial and residential buildings. Report prepared for the California Energy Commission. Report number
Andersen, K.K., and T.A. Reddy, 2002. The error in variables (EIV) regression approach as a means of identifying unbiased physical parameter estimates: Application to chiller performance data. International Journal of Heating, Ventilating, Air Conditioning and Refrigerating Research 8(3):295-309.
Bailey, M.B. 1998. The design and viability of a probabilistic fault detection and diagnosis method for vapor compression cycle equipment. Ph.D. thesis, School of Civil Engineering of University of Colorado, Boulder, Colorado.
Basri, H (1998). An expert system for planning landfill restoration, water science and technology, New Delhi USA; Inlier limited.
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