Tool Wear Condition Prediction Using Vibration Signals in . Core
. Engineering, Amrita Vishwa Vidyapeetham,Coimbatore 641112,India . using Machine Learning Algorithms namely J48 Decision Tree algorithm and . Wear1 of the cutting tools has an enormous impact on the ability to machine the Titanium alloy and as well as the on the manufacturing cost of the finished component.
Fault Diagnosis of Single Point Cutting Tool through . Science Direct
International conference on Advances in Manufacturing and Materials Engineering, . National Institute of Technology Karanataka, Surathkal, Mangalore 575025, India . worn tool for the fault diagnosis using machine learning techniques for . significant features were given as input for the classifier and the accuracies of.Get Price