This book presents the main advanced signal processing techniques for fault detection and diagnosis in electromechanical systems. It focuses on presenting these advanced tools from time-frequency representation and time-scale analysis to demodulation techniques, including innovative and recently developed approaches.
This book presents the main advanced signal processing techniques for fault detection and diagnosis in electromechanical systems. It focuses on presenting these advanced tools from time-frequency representation and time-scale analysis to demodulation techniques, including innovative and recently developed approaches.
Introduction Chapter 1: Parametric signal processing approach Chapter 2: The signal demodulation techniques Chapter 3: Kullback-Leibler divergence for incipient fault diagnosis Chapter 4: Higher-order spectra Chapter 5: Fault detection and diagnosis based on principal component analysis Conclusions
Introduction Chapter 1: Parametric signal processing approach Chapter 2: The signal demodulation techniques Chapter 3: Kullback-Leibler divergence for incipient fault diagnosis Chapter 4: Higher-order spectra Chapter 5: Fault detection and diagnosis based on principal component analysis Conclusions
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