A fault diagnosis expert system for hydraulic system of injection moulding

Injection moulding is a kind of highly automatic machine. The hydraulic system is an important part for its proper operation. But because of the frequent faults, the productivity of injection moulding is significantly decreased. Traditionally, the expert system for fault diagnosis is only based on expert experiences. However, considering the complexity of faults of the hydraulic system, it sometimes leads to inaccurate results, even no results. We present a method based on the combination of an expert´s experiences and the object´s structure and function. By using shallow and deep knowledge synthetically, the framework of an efficacious system is proposed. We describe the generalized knowledge base and the new diagnosis strategies and reference mechanism. We also give some practical rules in LISP language. In most cases, especially unexpected ones, this method can lead to better results