A rule-based expert fault diagnosis system for auto wire bond machine

In the modern market place, computing is essential in all aspects of manufacturing activity. Computers have brought to life terms like artificial intelligence, and have played a critical role in reinvention of manufacturing industry. In continuing quest to decrease the time interval between conceptualization of a product, information technology has been fused with manufacturing practice. This paper describes the use of expert system shell to develop a rule-based expert auto wire bond machine fault diagnosis system in hi-tech semi-conductor industry. The main aim of the research is to diagnose the problem of auto wire bond machine. In semiconductor industry, production equipment and machine have depended heavily on the use of human expertise for maintenance and it is costly. Without an expert system, his/her experience is lost when human is unavailable. This human replacement' process is certainly a convenient way to be applied. With the expert system, processes or tool that implemented will be standardized and accuracy will be increased compared to the conventional way. Therefore, the quality of product that are produced will be finer and better. The constrains values for the fault diagnosis are based on design data and experience of the engineer.