crossrefJournal of Sensor and Actuator Networks2024-09-04Cited by 59
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
Tool condition monitoring (TCM) systems have evolved into an essential requirement for contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and diverse monitoring techniques to swiftly identify and diagnose tool wear, defects, and malfunctions of compu…