Development of Deep Belief Network for Tool Faults Recognition von Kale, Archana P, Wahul, Revati M, Patange, Abhishek D, Soman, Rohan, Ostachowicz, Wieslaw

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Comparison of Tool Wear, Surface Roughness, Cutting Forces, Tool Tip Temperature, and Chip Shape during Sustainable Turning of Bearing Steel von Demirpolat, Havva, Binali, Rüstem, Patange, Abhishek D, Pardeshi, Sujit S, Gnanasekaran, Sakthivel

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Development of Online Tool Wear-Out Detection System Using Silver–Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations von Rakkiyannan, Jegadeeshwaran, Jakkamputi, Lakshmipathi, Thangamuthu, Mohanraj, Patange, Abhishek D., Gnanasekaran, Sakthivel

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A machine learning approach for vibration-based multipoint tool insert health prediction on vertical machining centre (VMC) von Patange, Abhishek Dhananjay, Jegadeeshwaran, R

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Health Monitoring of Milling Tool Inserts Using CNN Architectures Trained by Vibration Spectrograms von S. Patil, Sonali, S. Pardeshi, Sujit, D. Patange, Abhishek

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Research on Using an Unconventional Tool for Increasing Tool Life by Selective Exchange of Worn Cutting Edge von Mikolajczyk, Tadeusz, Paczkowski, Tomasz, Kuntoglu, Mustafa, Patange, Abhishek D., Binali, Rüstem

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Data Driven Cutting Tool Fault Diagnosis System Using Machine Learning Approach: A Review von Tambake, Nagesh R, Deshmukh, Bhagyesh B, Patange, Abhishek D

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Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble von Khairnar, Apoorva, Abhishek, Patange, Pardeshi, Sujit, Jegadeeshwaran, R

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Performance and ferrography analysis for determining the wear of an external gear pump von Dhote, Nihal, Khond, Mohan P., Sheikh, Shadab, Patange, Abhishek D.

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International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach von Patil, Rushikesh A., Patange, Abhishek D., Pardeshi, Sujit S.

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Multi-Point Face Milling Tool Condition Monitoring Through Vibration Spectrogram and LSTM-Autoencoder von H. Jatakar, Keshav, Mulgund, Gopal, D. Patange, Abhishek, Deshmukh, B. B., S. Rambhad, Kishor

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Cutting Tool Condition Monitoring using a Deep Learning-based Artificial Neural Network von Sonali S., Patil, Sujit S., Pardeshi, Nikhil, Pradhan, Abhishek D., Patange

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Experimental Thermohydraulic Assessment of Novel Curved Ribs for Heat Exchanger Tubes: A Machine Learning Approach von Deshmukh, Prashant, Lahane, Subhash, Sumant, Hari, Patange, Abhishek D., Gnanasekaran, Sakthivel

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Tyre Pressure Supervision of Two Wheeler Using Machine Learning von S. Pardeshi, Sujit, D. Patange, Abhishek, Jegadeeshwaran, R., R. Bhosale, Mayur

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Monitoring Built-Up Edge, Chipping, Thermal Cracking, and Plastic Deformation of Milling Cutter Inserts through Spindle Vibration Signals von Jatakar, Keshav, Shah, Varsha, Binali, Rüstem, Salur, Emin, Sağlam, Hacı, Mikolajczyk, Tadeusz, Patange, Abhishek D.

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A Bayesian Optimized Discriminant Analysis Model for Condition Monitoring of Face Milling Cutter Using Vibration Datasets von Bajaj, Naman S, Patange, Abhishek D, Jegadeeshwaran, R, Kulkarni, Kaushal A, Ghatpande, Rohan S, Kapadnis, Atharva M

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Health Monitoring of Turning Tool through Vibration Signals Processed using Convolutional Neural Network Architecture von Wahul, Revati M., Kale, Archana P., Patange, Abhishek D.

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Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review von Binali, Rüstem, Patange, Abhishek Dhananjay, Kuntoğlu, Mustafa, Mikolajczyk, Tadeusz, Salur, Emin

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Application of Bayesian Family Classifiers for Cutting Tool Inserts Health Monitoring on CNC Milling von Patange, Abhishek D., Jegadeeshwaran, R

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Development of distributed compliant mechanism for two distinct applications: displacement amplifying and object holding mechanism von Kandharkar, Sachin R, Pardeshi, Sujit S, Soman, Rohan, Patange, Abhishek D, Ostachowicz, Wieslaw

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