A Study on the Automatic Test Strategy of the Electronic Circuit Board Using Artificial Intelligence

인공지능기법을 이용한 전자회로보오드의 자동검사전략에 대한 연구

  • 고윤석 (남서울대학 전자정보통신공학부)
  • Published : 2003.12.01

Abstract

This paper proposes an expert system to generate automatically the test table of test system which can highly enhance the quality and productivity of product by inspecting quickly and accurately the defect device on the electronic circuit board tested. The expert system identifies accurately the tested components and the circuit patterns by tracing automatically the connectivity of circuit from electronic circuit database. And it generates automatically the test table to detect accurately the missing components, the misplaced components, and the wrong components for analog components such as resistance, coil, condenser, diode, and transistor, based on the experience knowledge of veteran expert. It is implemented in C computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the interface with the electronic circuit database and the hardware direct control. And, the validity of the builded expert system is proved by simulating for a typical electronic board model.

Keywords

References

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