Condition Monitoring & Signal Processing in Machine Tools

This presentation explores the fundamentals of Condition Monitoring within the context of Industry 4.0, emphasizing its evolution from traditional methods to sensor-driven approaches. It delves into advanced signal processing techniques, including time and frequency analysis, model-based methods, and the integration of machine learning for intelligent analytics, offering a theoretical perspective pivotal for advancing research in predictive maintenance and system diagnostics.