Engineering and TechnicalPredictive Maintenance and Condition Monitoring Techniques
A three day hands on course in detecting equipment degradation before it becomes failure. Delegates work through vibration analysis and spectral diagnostics for bearing, gear and alignment faults, infrared thermography for electrical and mechanical hot spots, oil analysis for lubricant condition and wear debris trends, and ultrasonic testing for leaks, electrical discharge and early bearing wear. Each technique is taught through interpretation rather than instrument operation, because the readings are easy to take and hard to read. The course closes on integrating several monitoring technologies into one condition based programme, and on the judgement of when a trend justifies intervention, which matters most on mining and processing plants where unplanned downtime on rotating equipment carries a heavy production cost.
Course objectives
- Interpret vibration spectra to diagnose bearing, gear and alignment faults
- Apply infrared thermography to detect electrical and mechanical hot spots
- Read oil analysis reports to track lubricant condition and wear debris trends
- Use ultrasonic testing to detect leaks, electrical discharge and early bearing wear
- Build a condition based maintenance programme integrating multiple monitoring technologies
- Set monitoring frequency and alarm thresholds from equipment criticality
- Judge when a trend justifies intervention and confirm the diagnosis after strip down
Who should attend
- Condition monitoring technicians
- Reliability engineers
- Maintenance supervisors
- Vibration analysts
- Plant engineers responsible for rotating equipment
Course outline
- 01Principles of condition based maintenance
- 02Vibration analysis fundamentals and spectral diagnostics
- 03Infrared thermography for electrical and mechanical assets
- 04Oil and lubricant analysis interpretation
- 05Ultrasonic and acoustic emission testing
- 06Criticality, monitoring frequency and alarm thresholds
- 07Deciding when a trend justifies intervention
- 08Integrating condition data into a predictive maintenance programme
Scheduled sessions
| Dates | Venue | Format | Price | Register |
|---|---|---|---|---|
| 12 to 14 October 2026 | Online | Online | R6,500 per delegate | Register Now |
| 19 to 21 October 2026 | Kigali, Rwanda | Classroom | USD 995 per delegate | Register Now |
| 8 to 10 February 2027 | Lagos, Nigeria | Classroom | USD 995 per delegate | Register Now |
| 22 to 24 February 2027 | Johannesburg, South Africa | Classroom | R14,950 per delegate | Register Now |
| 3 to 5 March 2027 | Cape Town, South Africa | Classroom | R14,950 per delegate | Register Now |