Mill Based On Case-based Reasoning, Fault Diagnosis System

Now, manufacturing face competition from strength to strength. In order to pursuit maximum profit and remain invincible in competition, corporation must perfectmanage. Fault diagnosis is one of it.New type rolling mill is a series of continuum producing equipment, there are several fault diagnosis technique for the complicated systems and equipments. First, the article explain the reasons of adopt CBR to fault diagnosis with comparing CBR and AI Neural Network and ES .Secondly, with knowing rolling mill construct, system function and contact of system, analyzing rolling mill fault basic type, fault characteristic, fault show and infection factor, then confirm how to case modelings how to set up theory of cases reasoning with rough sets. And then, according to users demands , function design and system mode, expatiate how to application CBR to research , design and empolder of rolling mill fault diagnosis system.In last, the research is summarized, introduce characteristic of system, and prospect the further deeply research, point out the things which need to be improved and perfected in the system.