B2404 - VIBRATION ANALYSIS

Learning outcomes

At the end of the course the student is able to arrange and conduct experimental tests to detect mechanical vibrations of mechanisms and machines, with different devices and transducers. The student knows numerical modelling methods and tools to analyze the dynamics of complex mechanical systems, including elastodynamic phenomena. The student gains knowledge about the main signal processing and analysis techniques for vibration response characterization and diagnostics of mechanical systems, enabling Condition Monitoring and Predictive Maintenance strategies.

Course contents

• Detection of vibration signals through accelerometers
  • Sensor setup and acquisition parameters
  • Detection of stationary signals from gears and unbalanced rotors
  • Acquisition of nonstationary signals
• Analysis of signals from accelerometers
  • Time domain and frequency domain analysis of stationary signals
  • Time-frequency analysis of nonstationary signals
  • Other advanced analysis techniques
• Detection and analysis of signals from other transducers
  • Laser tachometers and vibrometers
  • Piezoelectric force sensors
  • Microphones
• Dynamic and elastodynamic modelling
  • Rigid and flexible multibody simulations
  • Dynamic substructuring
• Experimental Modal Analysis
  • Impact test
  • Modal shaker excitation

Readings/Bibliography

The slides and lecture notes shown during the course will be made available for download.

Suggested books (not mandatory):

• Rao S.S., “Mechanical vibrations”, Third edition, Addison Wesley Pub. Company, 1995.
• Inman D.J., “Engineering Vibration”, Prentice Hall, 1994.

Scientific papers for in depth study of specific topics.

Teaching methods

The course comprises:

• theoretical lectures with blackboard, PowerPoint slides and the support of multimedia tools;
• laboratory activities with equipment for acquisition of vibration signals.

Assessment methods

Technical report and live presentation on a practical problem of vibration analysis to be solved by working in small teams.

Teaching tools

Software for acquisition and analysis of vibration signals.

Office hours

See the website of Alberto Martini