Cutting tool condition monitoring using eigenfaces

Abstract Effective monitoring of the tool wear condition within a machining process can be very challenging. Depending on sensors used, often only part relevant information detected. In case milling processes data acquisition is made even more difficult by fact that working point inaccessible for sensor applications due to physical tool, itself, chipping and used cooling-lubricants. By using variety different measuring principles, fusion strategies counteract this problem. An approach eigenface algorithm. This approach, face recognition technique, tested its suitability in multi-sensor data.