Development of Online Tool Wear-Out Detection System Using Silver-Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations. - Jegadeeshwaran Rakkiyannan; Lakshmipathi Jakkamputi; Mohanraj Thangamuthu; Abhishek D. Patange; Sakthivel Gnanasekaran (Sensors, 2022)

Digital Twin-Driven Tool Condition Monitoring for the Milling Process. - Sriraamshanjiev Natarajan; Mohanraj Thangamuthu; Sakthivel Gnanasekaran; Jegadeeshwaran Rakkiyannan (Sensors, 2023)

A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers. - Sakthivel Gnanasekaran; Lakshmipathi Jakkamputi; Jegadeeshwaran Rakkiyannan; Mohanraj Thangamuthu; Yogesh Bhalerao (Sensors, 2023)

Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning. - Devarajan Kaliyannan; Mohanraj Thangamuthu; Pavan Pradeep; Sakthivel Gnanasekaran; Jegadeeshwaran Rakkiyannan; Alokesh Pramanik (J. Sens. Actuator Networks, 2024)

Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review. - Sudhan Kasiviswanathan; Sakthivel Gnanasekaran; Mohanraj Thangamuthu; Jegadeeshwaran Rakkiyannan (J. Sens. Actuator Networks, 2024)