AN EXPERT FAULT DIAGNOSIS SYSTEM FOR AUTO WIRE BOND MACHINE

In the modern world, 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 interval time 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 for an auto wire bond machine fault diagnosis system for hi-tech semiconductor industry. The main aim of the expert fault diagnosis system 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. With the developed expert system, the diagnosis process for the auto wire bond machine is standardized and accuracy will be increased compared to the conventional way. Therefore, the quality of products that are produced will improve. The constrains values for the fault diagnosis are based on design data and experience of the engineer. The expert fault diagnosis system is to improve bonding quality by reducing the production yield loss.