主催: The Japan Society of Mechanical Engineers
会議名: 第10回 21世紀における先端生産工学・技術に関する国際会議 (LEM21)
開催日: 2021/11/14 - 2021/11/18
In this paper, we introduce an intelligent diagnosis technique for micro-hole drilling state based on the analysis of acoustic emission (AE) signals emitted during the process. Through the analysis of the AE signal waveforms in both the time and frequency domains, we attempted to estimate tool condition in micro-hole drilling, and tried to diagnose abnormal state that may lead to tool breakage.