Study of Damage in Spur Gear Using Acoustic Emission Signal Analysis

Abstract

Objective of this research is to study how to use acoustic emission in condition monitoring of spur gear defect diagnosis which was calculated by using the statistical parameter analysis technique. Acoustic emission is defined as defect propagation rate in the microscopic and macroscopic of rotating machinery which has spur gear as the main part of power transmission system. This experiment was set up based on motorcycle spur gear with torque loading in various conditions such as defect free, a 25% crack tooth, a 50% crack tooth, a 50% broken tooth, a 100% broken tooth, one gear has a 50% broken tooth and a 100% broken tooth. Result of this experiment showed that acoustic emission signal analysis with two statistical parameters could be meaningfully used for defect identification.