Course Overview

Vibration Analysis Category II develops the measurement, analysis, and diagnostic skills used to assess rotating machinery condition. The course connects the selection of sensors and analyzer settings with the interpretation of spectra, time waveforms, and phase information. Participants examine how sound data collection and an understanding of machine behavior support a reasoned diagnosis.

The program addresses signal processing, common machinery vibration patterns, bearing and gear assessment, and techniques for checking diagnostic conclusions. It also considers balancing, shaft alignment, measurement routes, alarm settings, and reporting. Participants develop a structured approach to combining different sources of vibration evidence with equipment and operating information. The emphasis is on producing clear condition assessments and recommendations that support informed maintenance decisions.

Learning Objectives

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

• Select transducers, mounting arrangements, and measurement points for defined machinery applications.
• Configure frequency range, sampling, resolution, averaging, and window settings for a measurement purpose.
• Explain how signal-processing choices influence the interpretation of vibration data.
• Interpret spectra, time waveforms, and phase information in the context of machine operation.
• Assess vibration evidence associated with imbalance, misalignment, looseness, resonance, bearings, and gears.
• Explain the role of phase and impact tests in supporting a diagnostic conclusion.
• Relate balancing and shaft-alignment practices to machinery condition and verification.
• Define monitoring, alarm, and reporting arrangements that support maintenance follow-up.

Practical Application

Apply the learning to turn vibration measurements into useful machinery-condition assessments.

• Consistent measurement quality: Establish suitable collection settings and repeatable measurement practices so data can be compared meaningfully.
• Well-supported diagnoses: Combine spectra, waveform, phase, and operating information before drawing conclusions about equipment condition.
• Clear maintenance recommendations: Document the evidence, assessment, and proposed follow-up so maintenance and engineering teams can plan appropriate action.
• Informed condition reviews: Use baselines and trends to review equipment behavior and assess the results of completed maintenance.