Comparative Analysis of Time, Frequency, and Wavelet Features for Tool Condition Monitoring Using Machine Learning under Cross-Tool Validation
Tool condition monitoring (TCM) is critical for ensuring high machining quality and preventing catastrophic tool failures in smart manufacturing. While data-driven approaches increasingly rely on complex machine learning architectures and hybrid feature extraction (combining time, frequency, and time-frequency domains)...