Condition Monitoring & Signal Processing in Machine Tools

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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.