Abstract: The fuzzy information combination method of chatter symptom early recognition is studied. The power sensor and acceleration sensor are engaged in the same time to measure the information of chatter. The Dempster-Shafer rule of information combination and fuzzy theory are applied in the data processed, the description of cutting state is given. The test shows that fuzzy information combination method is better than fuzzy logic method on chatter detection during the cutting process. Fuzzy information combination method uses more information, and makes up for the lacuna of rule of maximum membership degree which is determine by the biggest single character in the pattern’s character set. The veracity of chatter symptom early recognition is improved by using information combination in fuzzy reasoning.

Key words: Chatter symptom, Early recognition, Fuzzy information combination method