Paper Title
Tool Wear Condition Monitoring using Acoustic Analysis of Emitted Sound Signals by Peak to Peak Analysis

Industrial automation requires optimization techniques in production activities including tool wear monitoring. The unmonitored tool may spoil the product if it is worn out more than the permitted levels or broken or cracked. A novel method suggested in this work utilizes no extra ordinary calculations or complex mathematical transformations. In this simple peak to peak analysis the high pitch and low pitch wavelength analysis results in representing the degree of tool wear. Repeated tests by the proposed method on different data sets of three categories say fresh, slight and severe resulted in significant threshold distances on both high and low pitch. Keywords - Tool Flank Wear; Microphone; tool condition monitoring; tool sound