Developing a Prototype of Case-based System Utilizing Fuzzy Sets to Detect Faults of Injection Molding Process
نویسندگان
چکیده
The purpose of this research is to develop a case-based system for detecting faults of injection molding machine by utilizing the information retrieved from troubleshooting guidelines. It is also reduced the system downtime. Case-based fault detection system guides users to detect their failure through the retrieval procedure. It utilizes fuzzy sets based on the relationship between parameters of the process, part, and mold to define the weight of features which is important for occurrence the faults. In this paper, a case-based system also used the occurrence weights of features to capture the problems in injection molding processes and to recommend the way of fixing these faults.
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