Intelligent Diagnosis for Micro Hole Drilling State by Acoustic Emission Signal Analysis

Abstract

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.