Earticle

초록

영어

Today, Knowledge based systems are used for complex problem solving and are having number of successful applications. Fault diagnosis methodology is based on failure behavior and hardware of the unit under test. This methodology is considered for the present work. Fault diagnosis in a microprocessor based electronic circuit boards needs lot of empirical knowledge and expertise and is a true artificial intelligence problem. Present research work relates to artificial intelligence systems and more particularly to a fault diagnostic knowledge based system that infers a cause of failure in electronics circuit board. The basic components of systems are knowledge base, inference engine and user interface. The knowledge is represented using object-rule structures and inference mechanism is implemented using classes. Performance of object oriented approach and rule based approach is compared and diagnosed faults were validated by industrial experts.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Motivation
 4. Rule based Knowledge Based System
  4.1 Fuzzy Knowledge Base
  4.2 Fuzzy Inference Engine
 5. Object Oriented Approach
 6. Architecture of Object Oriented Knowledge Based Expert System
  6.1 Knowledge Base
  6.2 Inference Mechanism
  6.3 User Interface
 7.Fault Diagnosis Strategy
 7.1 Fault Diagnosis in 8085 Microprocessor Based Circuit Board
 8. Results Obtained using Two Approaches
 9. Conclusion
 References

키워드

저자

• Dattatraya Vishnu Kodavade [ Professor & Head, Department of Computer Sc.& Engineering, D.K.T.E.Society’s Textile & Engineering Institute, Ichalkaranji. 416 115, MS, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605