Comparative Analysis of Time, Frequency, and Wavelet Features for Tool Condition Monitoring Using Machine Learning under Cross-Tool Validation
A systematic benchmarking analysis comparing time-domain, frequency-domain, wavelet-based, and hybrid feature sets for tool wear classification using the standard PHM 2010 Data Challenge dataset reveals two critical pitfalls for practical TCM design: feature selection techniques fail to improve accuracy, and standard s...