The book offers a comprehensive introduction to mathematical modeling of dynamic system vibrations, beginning with analytical methods for deriving equations of motion and progressing to single and multi-degree-of-freedom models. Emphasizing linear algebra-based formulations compatible with modern computational tools, it also covers signal processing techniques essential for experimental model synthesis. The final chapter details key synthesis methods using processed measurement data, providing readers with a solid foundation in contemporary modeling and analysis of vibratory systems.

Combines analysis of vibration with practical system identification through signal processing techniques Bridges classical vibration theory with modern computational techniques using advanced linear algebra Introduces signal processing methods that enable readers to derive vibration models from real-world measurements

Autorentext

Paulo Kurka is a Mechanical Engineering Professor at UNICAMP, Brazil. He earned degrees from PUC-Rio and a PhD from UMIST, UK. His work focuses on system dynamics, signal processing, automation, and structural vibrations. He chairs the Brazilian Dynamics Committee and is an editor for Mechanical Systems and Signal Processing. Recent research includes image processing for robotics and vibration analysis in rail vehicles.

Inhalt

1. Dynamic Modeling of Vibrating Systems.- 2. Single Degree of Freedom Systems.- 3. Multiple Degrees of Freedom Systems.- 4. Signal Processing of Dynamic Systems.- 5. Identification of Dynamic Systems.