Course Overview

Vibration Analysis Level I: An Engineering Approach connects the principles of mechanical vibration with practical machinery monitoring. The course builds an understanding of mass, stiffness, damping, and natural frequency, then relates these concepts to the collection and interpretation of vibration measurements. Participants explore how simplified engineering models help explain the behavior observed in machinery.

The program combines single-degree-of-freedom system analysis with sensor selection, measurement direction, analyzer operation, and introductory spectrum interpretation. It examines time and frequency representations, common vibration patterns, and the role of monitoring routes and alarm settings. Participants develop a foundation for collecting useful measurements and discussing their significance, supporting a considered approach to vibration-based condition monitoring and further technical development.

Learning Objectives

By the end of the course, participants will be able to:

• Explain the roles of mass, stiffness, and damping in mechanical vibration.
• Formulate equations of motion for simplified single-degree-of-freedom systems.
• Calculate natural frequency and damping parameters for defined engineering examples.
• Relate sensor mounting and measurement direction to the information being collected.
• Explain the relationship between time waveforms and frequency spectra.
• Interpret basic spectral features and common machinery vibration patterns.
• Describe the role of measurement routes, baselines, and alarm settings in condition monitoring.
• Document measurement conditions and observations to support technical review.

Practical Application

Apply the learning to build a sound engineering foundation for machinery vibration monitoring.

• Informed measurement choices: Connect the machine's behavior and measurement purpose with suitable sensor locations, directions, and collection practices.
• Clear technical interpretation: Use vibration principles and basic spectra to explain observed patterns and identify suitable follow-up questions.
• Repeatable monitoring records: Document settings and operating conditions so future measurements can be compared and reviewed consistently.