Vibration Analysis & Condition Monitoring Training
Rotating equipment tells you it’s failing long before it actually fails — through vibration signatures that shift subtly as bearings wear, shafts misalign, or imbalance develops. The skill is in catching that signal early enough to act, and reading it correctly enough to know what’s actually wrong. Burraq Consulting’s course builds that diagnostic capability from the ground up.
What Is Vibration Analysis & Condition Monitoring?
Vibration analysis is a predictive maintenance technique that measures and interprets the vibration signatures of rotating equipment to detect developing faults — imbalance, misalignment, bearing defects, and looseness among the most common — before they progress to failure. Condition monitoring more broadly encompasses vibration analysis alongside other techniques, using trended data over time to schedule maintenance based on actual equipment condition rather than a fixed calendar.
Who Should Attend
- Reliability engineers building or running a condition monitoring program
- Maintenance technicians performing hands-on vibration data collection
- Condition monitoring specialists responsible for fault diagnosis and reporting
Prerequisites
Basic mechanical or vibration knowledge is recommended.
What the Course Covers
- Vibration fundamentals — frequency, amplitude, and phase, and what each tells you about a machine's condition
- Common fault signatures — imbalance, misalignment, bearing defects, and mechanical looseness — and how to distinguish between them
- Vibration data collection techniques and equipment, including proper sensor placement and measurement practices
- Spectrum analysis (FFT), and how to read a vibration spectrum to identify the specific fault present
- Trending and alarm limit setting, and how to build a monitoring program that flags real problems without excessive false alarms
- Bearing fault detection techniques, including envelope analysis for early-stage bearing defects
- Building a condition monitoring program — route planning, data management, and reporting practices that keep the program sustainable
Course at a Glance
Why Train with Burraq Consulting
Burraq Consulting’s instructors bring direct condition monitoring experience from rotating equipment programs across the region, and this course emphasizes real spectrum interpretation over theory alone — participants work through actual fault signatures rather than only idealized textbook examples, building the pattern recognition that real diagnostic work depends on.
Certification and Next Steps
This course leads to a Certificate of Competency aligned with Category I vibration analysis competency expectations. It pairs naturally with Burraq Consulting’s Rotating Equipment Maintenance and Predictive & Preventive Maintenance Strategies courses for a complete condition monitoring skill set.
Frequently Asked Questions
These categories, common across recognized vibration analysis certification schemes, reflect increasing depth of competency — Category I covers basic data collection and fault recognition, while higher categories involve more advanced diagnostic and analysis skills. This course is aligned with Category I-level competency.
The course teaches principles that apply across vibration monitoring equipment brands and types. Participants without access to equipment during the course still gain the interpretive skills needed once they do have access to monitoring tools at their facility.
With appropriate techniques such as envelope analysis, bearing defects can often be detected at a very early stage, well before the fault would be audible or detectable through simpler methods — giving maintenance teams significant lead time to plan a repair.
Yes. Beyond fault diagnosis, the course covers the practical program elements — route planning, alarm limits, and data management — needed to build a monitoring program that actually gets sustained over time.
Catch equipment problems while there's still time to plan the fix.
or contact us to arrange an in-house program for your reliability team.