Automatic supervision of blanking tool wear using pattern recognition analysis

Keyphrases

• Tool Wear 100%
• Pattern Recognition Analysis 100%
• Punch Wear 100%
• Usage Patterns 100%
• Wear Conditions 66%
• Autoregressive Model 66%
• Model Coefficients 66%
• Die Wear 66%
• Large Volume 33%
• Mean Squared Error 33%
• Prediction Error 33%
• Optimum number 33%
• Linear Discriminant Function 33%
• Least Mean Square Adaptive Filter 33%
• Supervisory System 33%
• High-speed Press 33%
• Autoregressive Time Series Model 33%
• Tool Condition 33%
• Pattern Vector 33%
• Blanking Force 33%
• Wear State 33%
• High Failure Rate 33%
• Least Mean Square 33%
• Dimensional Tolerance 33%
• Form Tolerance 33%
• Fast Operation 33%
• Defective Parts 33%
• Modified Least Mean Square 33%

Engineering

• Blanking 100%
• Pattern Recognition 100%
• Model Coefficient 28%
• Experimental Result 14%
• Mean-Squared-Error 14%
• Success Rate 14%
• Optimum Number 14%
• Least Mean Square 14%
• Linear Discriminant Function 14%
• Dimensional Tolerance 14%
• Form Tolerance 14%
• Prediction Error 14%
• Adaptive Filter 14%